scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Structural analysis and multipole modelling of quercetin monohydrate--a quantitative and comparative study.

01 Feb 2011-Acta Crystallographica Section B-structural Science (International Union of Crystallography)-Vol. 67, Iss: 1, pp 63-78
TL;DR: This quantitative and comparative study shows that in the absence of high-resolution diffraction data, the database transfer approach can be applied to the multipolar electron density features very accurately.
Abstract: The multipolar atom model, constructed by transferring the charge-density parameters from an experimental or theoretical database, is considered to be an easy replacement of the widely used independent atom model. The present study on a new crystal structure of quercetin monohydrate [2-(3,4-dihydroxyphenyl)-3,5,7-trihydroxy-4H-chromen-4-one monohydrate], a plant flavonoid, determined by X-ray diffraction, demonstrates that the transferred multipolar atom model approach greatly improves several factors: the accuracy of atomic positions and the magnitudes of atomic displacement parameters, the residual electron densities and the crystallographic figures of merit. The charge-density features, topological analysis and electrostatic interaction energies obtained from the multipole models based on experimental database transfer and periodic quantum mechanical calculations are found to compare well. This quantitative and comparative study shows that in the absence of high-resolution diffraction data, the database transfer approach can be applied to the multipolar electron density features very accurately.

Summary (4 min read)

Introduction

  • Structural Science publishes papers in structural chemistry and solid-state physics in which structure is the primary focus of the work reported, also known as Acta Crystallographica Section B.
  • The multipolar atom model, constructed by transferring the charge-density parameters from an experimental or theoretical database, is considered to be an easy replacement of the widely used independent atom model.
  • The present study on a new crystal structure of quercetin monohydrate [2-(3,4- dihydroxyphenyl)-3,5,7-trihydroxy-4H-chromen-4-one monohydrate], a plant flavonoid, determined by X-ray diffraction, demonstrates that the transferred multipolar atom model approach greatly improves several factors: the accuracy of atomic positions and the magnitudes of atomic displacement parameters, the residual electron densities and the crystallographic figures of merit.

2.1. Crystallization, data collection and data reduction

  • Quercetin dihydrate (CAS number 6151-25-3) purchased as a powder from Sigma–Aldrich was dissolved at 233 K in acetonitrile.
  • The solution was left overnight to slowly cool down to room temperature.
  • Analysis and multipole modelling Acta Cryst. (2011).
  • Services for accessing these data are described at the back of the journal.
  • The multi-scan absorption correction was applied in the scaling procedure.

2.3. Theoretical calculations

  • Upon energy convergence ( E ’ 10 6), a periodic wavefunction based on optimized geometry was obtained.
  • The index generation scheme proposed by Le Page & Gabe (1979) was applied to generate 18 404 unique Miller indices up to 1.2 Å 1 reciprocal resolution.
  • The ADPs of the H atoms were scaled according to Ueq of the carrying atoms (URATIO restraint) in an analogous way to SHELX (Sheldrick, 2008).
  • This restrained model is referred to as the IAM_R model (Table 1).

2.5. Database transfer

  • A total of 12 unique atom types from the extended ELMAM database were assigned to 35 atoms of quercetin monohydrate.
  • The multipolar parameters (including and 0) were then transferred to the quercetin monohydrate structure resulting from the final IAM_R and IAM_UR models.
  • The resulting model is referred to as TAAM_OPT (Table 1).
  • For all TAAM models, constructed using the extended ELMAM database, the electron density of the non-H atoms was described up to octupolar level, while for H atoms it was described only for the bond-directed quadrupole (q3z2 1) and Acta Cryst. (2011).
  • ‘Empirical absorption correction using spherical harmonics was implemented in the SCALE3 ABSPACK scaling algorithm.’.

2.6. Theoretical modelling

  • The MoPro package was used to perform the multipolar refinement (based on F) against the whole set of generated theoretical structure factors.
  • The corresponding model is referred to as THEO_OPT (Table 1).
  • The scale factor was fixed to the absolute value (1.0).
  • An independent ( , 0) set was defined for the H6 atom as initial theoretical refinements showed dissimilar values.
  • The same type and number of restraints and weighting scheme as used for other restrained models were also applied in this model.

2.7. Electrostatic interaction energy

  • All the electrostatic interaction energy computations were performed with VMoPro, part of the MoPro package, using the numerical integration method on a spherical grid around selected atoms.
  • The Gauss–Chebyshev (Becke, 1988) and Lebedev & Laikov (1999) quadratures were used for the radial and angular parts, respectively.
  • Radial coordinates and weights were remapped using the formula of Treutler & Ahlrichs (1995).
  • The integrations involved 100 radial and 434 angular quadrature points.
  • Interaction energies were calculated between pairs of neighboring molecules in contact, for which two atoms were separated by a distance lower than or equal to the sum of their van der Waals radii.

3.1. Crystal structure

  • Here the authors report the structure of a new hydrate form of quercetin crystallized in the monoclinic centrosymmetric space group P21/c with Z = 4 determined from X-ray diffraction data.
  • Analysis and multipole modelling Acta Cryst. (2011).
  • There are two structure determinations of quercetin dihydrate which have been previously published (Rossi et al., 1986; Jin et al., 1990).
  • The majority of these are O—H O contacts, the dominating hydrogen bonds in this crystal structure (Table 5), rather than C—H O contacts.
  • Further quantitative and qualitative analyses of intermolecular contacts based on their topological properties derived using Bader’s (1990, 1998) QTAIM (quantum theory of atoms in molecules) approach are discussed in a later section.

3.2. Improvement over spherical atom model

  • In this section the authors draw comparisons between IAM_R versus TAAM_R and IAM_UR versus TAAM_UR models.
  • This means that X—H distances obtained from the IAM_UR model are very much shortened when compared with neutron distances – a common observation in conven- tional X-ray structure analysis.
  • A higher dissimilarity is observed for the C atoms than for the O atoms.
  • It is apparent from Fig. 6 that the IAM_R model overestimates the displacement parameters for the C atoms in the plane of the molecule where covalent bonding occurs.
  • The final refinement statistics listed in Table 3 suggest that the TAAM_R model is equally good or slightly better than the TAAM_THEO_R model.

3.3. Charge density analyses

  • The deformation electron density and the derived oneelectron properties based on the TAAM_OPT and THEO_OPT models are compared quantitatively.
  • To facilitate a better comparison and to avoid the influence of using different atomic positions, both models were constructed based on the optimized structure of the quercetin monohydrate.

3.4. Deformation electron densities

  • The static deformation electron-density maps of the quercetin molecule are shown in Fig. S3 for both TAAM_OPT and THEO_OPT models (the water molecule is shown in Fig. S4).
  • The grids were prepared in the following way.
  • Fig. 8 shows the deformation electron density for the hydroxyl group O3—H3 in the plane bisecting the C—O—H triplet of atoms.
  • The TAAM_OPT deformation electrondensity map in Fig. 8(a) appears to be slightly smeared and attenuated compared with the THEO_OPT model (Fig. 8b).
  • In their study Farrugia et al. (2009) also observed that the electron lone pairs of similar O atoms are almost merged.

3.5. Topology of covalent bonds

  • The topological description of the electron density at the bond-critical points (BCPs) in quercetin monohydrate for TAAM_OPT and THEO_OPT models is presented in Table 70 Sławomir Domagała et al.
  • Analysis and multipole modelling Acta Cryst. (2011).
  • The high discrepancy of the (rCP) and r2 (rCP) values for the carbonyl group may be connected to the higher uncertainty on the multipolar parameters of the O4 atom in the TAAM_OPT model.
  • A smaller number of atoms were indeed available to build the average values in the databank for this aromatic carbonyl O-atom type.
  • Additionally, the authors have analysed the relative agreement between the models in terms of the reliability factor R(p) of property p defined as RðpÞ ¼ X pTAAM OPT pTHEO OPT .X pTAAM OPT : ð3Þ.

3.6. Topology of intra- and intermolecular contacts

  • Quantitative analysis of intra- and intermolecular interactions were performed in terms of the topology of the electron density.
  • These interactions include contacts of the O C and C C type with separations ranging from 3.2 to 3.6 Å.
  • In this context it is to be noted that the analyses may not necessarily be correlated as those two approaches are based on different partitioning schemes.
  • For the TAAM_OPT and THEO_OPT models the topological properties of the electron density of intra- and intermolecular interactions are found to agree well.
  • The largest discrepancies in (rCP) and r2 (rCP) values are observed for the six strongest hydrogen bonds (dH O < 1.9 Å).

3.7. Electrostatic interaction energies

  • In the crystal lattice the quercetin molecule is in direct contact with 19 neighbouring entities (including water molecules).
  • Pairs marked by A–H and I–M letters denote quercetin quercetin and quercetin water interactions.
  • The sum over all interaction contacts is also given, with a weight of 12 for the involutional symmetry dimers (non duplicates).
  • The values of the corresponding electrostatic interaction energies for the TAAM_OPT and THEO_OPT models are given in Table 7.
  • The greatest difference in electrostatic interaction energy of 13 kJ mol 1 (14% in relative value) is noticed for the pair marked with ‘H’.

3.8. Electrostatic potentials

  • The three-dimensional electrostatic potential (ESP) envelopes for the quercetin molecule mapped on the 0.0067 e Å 3 (0.001 e bohr 3) isosurface of the electron density are shown in Fig. 12.
  • The most prominent difference is seen in the region of the catechol ring (C11–C16 and C2 atoms), which displays more negative ESP in the TAAM_OPT model.
  • In order to quantify the ESP distribution in the quercetin molecule, the ESP surface quantities were calculated, as proposed by Politzer and co-workers (Murray & Politzer, 1998; Murray et al., 2000).
  • All the notations used here to describe the quantities are from their original papers.
  • A comparison of different surface quantities resulted in similar values for the TAAM_OPT and THEO_OPT models.

3.9. Atomic charges and dipole moments

  • The distribution of atomic charges in quercetin monohydrate, derived from the Hansen–Coppens (Hansen & Coppens, 1978) multipole formalism, for the TAAM_OPT and THEO_OPT models are listed in Table S6.
  • The largest deviations between the two models are visible for the O4 atom and the C atoms of the C5–C10 ring of the benzopyran moiety.
  • The direction of the dipole moments for the two models is found to deviate by 27 (Fig. S9).
  • Nevertheless, their orientations follow the general distribution of the electrostatic potential as seen in Fig. 12.
  • The authors also verified the values of dipole moments for the water molecule.

4. Concluding remarks

  • This work was initiated with the aim of representing the transferred experimental multipolar atom model as an easy and better replacement for the widely used IAM.
  • Indeed the present study on a new crystal structure of quercetin monohydrate determined from X-ray diffraction data convincingly demonstrates that the extended ELMAM database transfer approach greatly improves several factors, such as atomic positions, thermal motions and residual electron densities, when these were compared with the corresponding IAM.
  • The Hirshfeld surface analysis of intermolecular contacts confirmed that the O—H O hydrogen bonds are the dominating contacts in this structure.
  • This is not surprising as the charge-density parameters of the transferred model were obtained from a database of experimentally derived electron densities and the diffraction data are contaminated by some measurement errors and atomic thermal motion.
  • The authors thank Dr Catherine Humeau for helpful discussions and for the quercetin sample.

Did you find this useful? Give us your feedback

Figures (17)

Content maybe subject to copyright    Report

electronic reprint
Acta Crystallographica Section B
Structural
Science
ISSN 0108-7681
Editor: Carolyn P. Brock
Structural analysis and multipole modelling of quercetin
monohydrate a quantitative and comparative study
Sławomir Domagała, Parthapratim Munshi, Maqsood Ahmed, Benoˆıt
Guillot and Christian Jelsch
Acta Cryst.
(2011). B67, 63–78
Copyright
c
International Union of Crystallography
Author(s) of this paper ma y load this reprint on their own web site or institutional repository provided that
this cover page is retained. Republication of this article or its storage in electronic databases other than as
specified above is not permitted without prior permission in writing from the IUCr.
For further information see http://journals.iucr.org/services/authorrights.html
Acta Crystallographica Section B: Structural Science
publishes papers in structural chem-
istry and solid-state physics in which structure is the primary focus of the work reported.
The central themes are the acquisition of structural knowledge from novel experimental
observations or from existing data, the correlation of structural knowledge with physico-
chemical and other properties, and the application of this knowledge to solve problems
in the structural domain. The journal covers metals and alloys, inorganics and minerals,
metal-organics and purely organic compounds.
Crystallography Journals Online is av ailable from journals.iucr.org
Acta Cryst.
(2011). B67, 63–78 Sławomir Domagała
et al.
· Analysis and multipole modelling

research papers
Acta Cryst. (2011). B67, 63–78 doi:10.1107/S0108768110041996 63
Acta Crystallographica Section B
Structural
Science
ISSN 0108-7681
Structural analysis and multipole modelling of
quercetin monohydrate a quantitative and
comparative study
Sławomir Domagała,
Parthapratim Munshi, Maqsood
Ahmed, Benoı
ˆ
t Guillot and
Christian Jelsch*
Laboratoire de Cristallographie, Re
´
sonance
Magne
´
tique et Mode
´
lizations (CRM2), CNRS,
UMR 7036, Institut Jean Barriol, Faculte
´
des
Sciences et Techniques, Nancy Universite
´
,BP
70239, 54506 Vandoeuvre-le
`
s-Nancy CEDEX,
France
Correspondence e-mail:
christian.jelsch@crm2.uhp-nancy.fr
# 2011 International Union of Crystallography
Printed in Singapore all rights reserved
The multipolar atom model, constructed by transferring the
charge-density parameters from an experimental or theore-
tical database, is considered to be an easy replacement of the
widely used independent atom model. The present study on a
new crystal structure of querceti n monohydrate [2-(3,4-
dihydroxyphenyl)-3,5,7-trihydroxy-4H -chromen-4-one mono-
hydrate], a plant flavonoid, determined by X-ray diffraction,
demonstrates that the transferred multipolar atom model
approach greatly improves several factors: the accuracy of
atomic positions and the magnitudes of atomic displacement
parameters, the residual electron densities and the crystal-
lographic figures of merit. The charge-density features,
topological analysis and electrostatic interaction energies
obtained from the multipole models based on experimental
database transfer and periodic quantum mechanical calcula-
tions are found to compare well. This quantitative and
comparative study shows that in the absence of high-
resolution diffraction data, the database transfer approach
can be applied to the multipolar electron density features very
accurately.
Received 13 July 2010
Accepted 16 October 2010
1. Introduction
Quercetin is a naturally occurring flavonoid pigment fou nd in
coloured leafy vegetables, herbs and fruits. This biologically
active compound has gained immense attention from the
research community due to its medicinal properties. It is
reported to possess anticancer (ElAttar & Virji, 1999),
antithrombotic (Gryglewski et al. , 1987), antioxidant (Lamson
& Brignall, 2000) and antimicrobial (Formica & Regelson,
1995; Gatto et al., 2002) properties. Recent rese arch supports
the idea that quercetin may be helpful for patients with
chronic prostatitis with interstitial cystitis possibly because of
its action as a mast cell inhibitor (Shoskes et al., 1999). The
presence of quercetin along with other flavonols in our daily
diet is also reported to be associated with a reduced risk of
fatal pancreatic cancer in tobacco smokers (No
¨
thlings et al.,
2007).
Charge-density analysis of accurate high-resolution single-
crystal X-ray diffraction data is now a matured branch of
modern crystallography, published in a variety of jour nals,
focusing on an ever-increasing range of inorganic, organo-
metallic, organic and biological materials (Coppens, 1997;
Spackman, 1997; Koritsa
´
nszky & Coppens, 2001; Munshi &
Guru Row, 2005a). This technique has now reached a level at
which the experimentally derived electron density can be
compared with the charge density obtained from high-level
theoretical calculations. Experimental and theoretical charge
densities can be used to analyse a range of problems of
chemical (Coppens, 1997) and physical (Tsirelson & Ozerov,
electronic reprint

1996) interest since the charge density is a physically obser-
vable quantity. One of the most exciting applications of charge
density analysis is the eval uation of one-electron properties in
molecular crystals (Spackman, 1992).
Bader’s Quantum Theory of Atoms In Molecules (QTAIM)
is an ultimate approach to studying the topological features of
the charge-density distribution (Bader, 1990, 1998). Topolo-
gical analysis via the QTAIM approach is capable of providing
the information about the existence and the nature of
hydrogen bonds. The eight criteria suggested by Koch and
Popelier (Koch & Popelier, 1995; Popelier, 2000; hereafter
referred as KP) based on QTAIM allow a hydrogen bond to
be distinguished from a van der Waals interaction. In this
study we focus on the first four of the criteria.
The possibility of using previously extracted electron-
density parameters within Hirshfeld’s (1971) aspherical
formalism in crystallographic modelling was first realised by
Brock et al. (1991). This work was followed by Pichon-Pesme
et al. (1995), resulting in the construction of the first experi-
mental database of peptide and amino-acid fragments, called
the experimental library of multipolar atom models
(ELMAM) based on the Hansen–Coppens (Hansen &
Coppens, 1978) multipolar formalism. Two more aspherical
atom libraries based on the same formalism but using
computed electron densities were also constructed: University
at Buffa lo Pseudoatom Databank (UBDB; Volkov et al., 2004)
and the Invariom database (Dittrich et al., 2004). All three
libraries are in continuous development and were revised
several times. ELMAM was updated in 2004 (Pichon-Pesme et
al., 2004), UBDB in 2007 (Dominiak et al., 2007) and Invariom
was improved in 2006 (Dittrich, Hu
¨
bschle et al., 2006). The
advantages of using aspherical atom databases in routine
crystallographic modelling were pointed out in several studies
(Jelsch et al., 1998, 2005; Dittrich et al., 2005, 2007, 2008;
Dittrich, Hu
¨
bschle et al., 2006, 2009; Dittrich, Stru
¨
mpel et al.,
2006; Dittrich, Weber et al., 2009; Volkov et al., 2007; Zarychta
et al., 2007; Ba˛k et al., 2009 ). Improvements to the residual
electron density, geometrical parameters and atomic displa-
cement parameters have been thoroughly discussed. More-
over, some of the databases were also used to compute the
electrostatic interaction energies between host–guest protein
complexes (Dominiak et al., 2009; Fournier et al., 2009).
The ELMAM database ha s been extended from protein
atom types to common organic molecules and is based on the
optimal local coordinate systems (Domagała & Jelsch, 2008).
New chemical en vironments (atom types) can be easily added
to the database when new charge-density diffraction data
become publicly available. Details of the construction of this
extended database will be published in a separate paper. In
this work we present the application of the extended database
for the multipolar atom modelling of quercetin monohydrate
(Fig. 1). The most important features of the modelled electron
density of this compound are discussed and are the subject of a
detailed comparison with the theoretical multipole model
based on periodic quantum mechanical calculations. All the
atom models discussed here are summarized in Table 1. The
charge-density parameters transferred to quercetin are
described in the CIF files in the supplementary material.
1
2. Experimental and theoretical details
2.1. Crystallization, data collection and data reduction
Quercetin dihydrate (CAS number 6151-25-3) purchased as
a powder from Sigma– Aldrich was dissolved at 233 K in
acetonitrile. The solution was left overnight to slowly cool
down to room temperature. Yellow crystals of prismatic shape
were crystallized from the solution. A crystal of size 0.35
research papers
64 Sławomir Domagała et al.
Analysis and multipole modelling Acta Cryst. (2011). B67, 63–78
Figure 1
Chemical structure of quercetin monohydrate.
Table 1
Summary of the atom models.
Model Description
IAM_R xyz, ADPs and scale factor refined versus experimental
structure factors
X—H distances, angles involving H atoms and ADPs of
the H atoms restrained
IAM_UR xyz, ADPs and scale factor refined versus experimental
structure factors
ADPs of the H atoms restrained
TAAM_R xyz, ADPs and scale factor refined versus experimental
structure factors
X—H distances, angles involving H atoms and ADPs of
the H atoms restrained
Multipolar parameters transferred from the extended
database
TAAM_UR xyz, ADPs and scale factor refined versus experimental
structure factors
ADPs of the H atoms
Multipolar parameters transferred from the extended
database
TAAM_OPT Optimized geometry used
Multipolar parameters transferred from the extended
database
THEO_OPT Optimized geometry used
Multipolar parameters refined versus theoretical struc-
ture factors
and
0
parameters for some H atoms restrained
TAAM_THEO_R xyz, ADPs and scale factor refined versus experimental
structure factors
X—H distances, angles involving H atoms and ADPs of
the H atoms restrained
Multipolar parameters transferred from the THEO_OPT
model
1
Supplementary data for this paper are available from the IUCr electronic
archives (Reference: GW5011). Services for accessing these data are described
at the back of the journal.
electronic reprint

0.19 0.16 mm was selec ted for the experiment. Data
collection was performed using an Oxford Diffraction Super-
Nova Dual Wavelength Microfocus diffractometer equipped
with an ATLAS CCD detector. Reflections were collected at
110 K up to sin / =0.63A
˚
1
resolution using Cu radiation.
Data were collected using 91 ! runs, with a 1.0
scan width and
15 s per frame exposure time, resulting in a total of 4921
frames. The average redundancy was 6.7. Indexing, integration
and scaling were performed with CrysAlisPro, Version 1.171
(Oxford Diffraction, 2009). In total, 39 962 reflections were
measured and then merged to 2652 unique reflections. The
multi-scan absorption correction was applied in the scaling
procedure. Further details of the data collection and red uction
are given in Table 2.
2.2. Spherical atom refinements
Structure solution and the initial stages of refinement were
carried out using SHELX97 (Sheldrick, 2008) with full-matrix
least-squares and based on F
2
. The final refinements on F were
performed using the MoPro package (Guillot et al., 2001;
Jelsch et al., 2005).
2.3. Theoretical calculations
Periodic quantum mechanical calculations using
CRYSTAL06 (Dovesi et al. , 2008) were performed for the
crystal structure obtained from X-ray diffraction and, using
this as a starting point, full geometry optimization was
performed using density functional theory (DFT; Hohenberg
& Kohn, 1964) and with the B3LYP hybrid functional (Lee et
al., 1988; Becke, 1993) using the 6-31G(d,p) basis set (Hari-
haran & Pople, 1973). Upon energy conver-
gence (E 10
6
), a periodic wavefunction
based on optimized geometry was obtained.
The index generation scheme proposed by Le
Page & Gabe (1979) was applied to generate
18 404 unique Miller indices up to 1.2 A
˚
1
reciprocal resolutio n. Option XFAC of the
CRYSTAL06 program was then used to
generate a set of theoretical structure factors
from the computed electron density and using
a set of prepared indices.
2.4. Experimental modelling
Initially the quercetin monohydrate struc-
ture was modelled using the independent atom
model (IAM) approximation. Atomic displa-
cement parameters (ADPs), positions (xyz
coordinates) and the scale factor were refined
with the appropriate weighting scheme and
restraints. X—H (where X = C or O) distances
were shifted and restrained to the average
neutron diffraction distances (Allen et al.,
1987, 2006). Angles involving C—H bonds
were also restrained using similarity restraints.
The ADPs of the H atoms were scaled
according to U
eq
of the carrying atoms (URATIO restraint) in
an analogous way to SHELX (Sheldrick, 2008). This
restrained model is referred to as the IAM_R model (Table 1).
Further, restraints on the distances and angles were released
from IAM_R, while the URATIO restraints were maintained.
This partially unrestrained mode l is referred to as IAM_UR
(Table 1).
2.5. Database transfer
A total of 12 unique atom types from the extended
ELMAM database were assigned to 35 atoms of quercetin
monohydrate. For some atoms, the same atom type was
selected (see Table S1 of the supplementary material). The
multipolar parameters (including and
0
) were then trans-
ferred to the quercetin monohydra te structure resulting from
the final IAM_R and IAM_UR models. The corresponding
transferred aspherical atom models (TAAM) are referred to
as TAAM_R and TAAM_UR (Table 1). Subsequently, the
charge-density par ameters were kept fixed and the ADPs,
atomic positions and the scale factor were refined until
convergence was reached. The same weighting scheme and
restraints were applied as in the IAM_R and IAM_UR
models. Further, the multipolar parameters from the extended
ELMAM database were transferred to the set of coordinates
obtained from the optimized quercetin monohydrate struc-
ture. The resulting model is referred to as TAAM_OPT (Table
1).
For all TAAM models, constructed using the extended
ELMAM database, the electron density of the non-H atoms
was described up to octupolar level, while for H atoms it was
described only for the bond-directed quadrupole (q
3z
2
1
) and
research papers
Acta Cryst. (2011). B67, 63–78 Sławomir Domagała et al.
Analysis and multipole modelling 65
Table 2
Experimental details.
For all structures: C
15
H
10
O
7
H
2
O, M
r
= 320.24, monoclinic, P2
1
/c, Z = 4. Experiments were carried
out at 110 K with Cu K radiation using a SuperNova, Dual, Cu at zero, Atlas diffractometer.
Absorption was corrected for by multi-scan methods. ‘Empirical absorption correction using
spherical harmonics was implemented in the SCALE3 ABSPACK scaling algorithm. Refinement
was on 256 parameters with 29 restraints. H-atom parameters were constrained.
IAM_R TAAM_R TAAM_THEO_R
Crystal data
a, b, c (A
˚
) 8.737 (1), 4.852 (1), 30.160 (1)
(
) 95.52 (1)
V (A
˚
3
) 1272.6 (3)
(mm
1
) 0.138
Crystal size (mm) 0.35 0.19 0.16
Data collection
T
min
, T
max
0.672, 1.000
No. of measured, independent and
observed [I >2.0(I)] reflections
69 706, 2652, 2565
R
int
0.017
Refinement
R[F
2
>2(F
2
)], wR(F
2
), S 0.039, 0.054, 2.19 0.020, 0.028, 1.11 0.020, 0.027, 1.11
No. of reflections 2652 2652 2652
max
,
min
(e A
˚
3
) 0.39, 0.24 0.14, 0.16 0.15, 0.18
Computer programs used: CrysAlisPro (Oxford Diffraction, 2009), SHELXL97 (Sheldrick, 2008), MoPro
(Jelsch et al., 2005).
electronic reprint

dipole (d
z
) components along with the monopole function.
After transfer, the resulting excess charge for the quercetin
monohydrate was 0.765 e (0.022 e per atom on average).
Therefore, the quercetin molecule and water molecule were
neutralized separately, using the charge-scaling procedure of
Faerman & Price (1990).
2.6. Theoretical modelling
The MoPro package was used to perform the multipolar
refinement (based on F) against the whole set of generated
theoretical structure factors. The corresponding model is
referred to as THEO_OPT (Table 1). The non-H atoms were
modelled up to the octupolar level. All H atoms were refined
with one dipole d
z
component, except the H atoms connected
to the O atoms for which a quadrupole q
3z
2
1
component was
also refined. The scale factor was fixed to the absolute value
(1.0). To consider a static model, the U
ij
tensor elements were
set to zero. During the refinement only valence and multipole
populations, and and
0
parameters were allowed to refine,
but no atomic positions were refined. No restraints/constraints
were imposed on any atoms, except constraints on the H
atoms. In particular, one set of and
0
parameters was used
for all H atoms of the hydroxyl groups and a separate (,
0
)
set was used for H atoms bound to the C atoms. An inde-
pendent (,
0
) set was defined for the H6 atom as initial
theoretical refinements showed dissimilar values. However,
the final and
0
values of the H6 atom [1.149 (5) and 1.36 (1)]
were very simil ar to those of other H atoms [1.162 (3) and
1.35 (1)] bound to the C atoms. The H atoms of the water
molecule shared a fourth set of and
0
parameters. In order
to keep both molecules neutral and to allow better comparison
with the transferred model, during the refinement no charge
transfer was allowed between the quercetin and the water
molecule.
Additionally, the multipolar parameters from the
THEO_OPT model were transferred to the IAM_R model
and only the ADPs, atomic positions and the scale factor were
re-refined against the experimentally observed reflections. The
same type and number of restraints and weighting scheme as
used for other restrained models were also applied in this
model. The corresponding model is referred to as
TAAM_THEO_R (Table 1).
2.7. Electrostatic interaction energy
All the electrostatic interaction energy computations were
performed with VMoPro, part of the MoPro package, using
the numerical integration method on a spherical grid around
selected atoms. The Gauss–Chebyshev (Becke, 1988) and
Lebedev & Laikov (1999) quadratures were used for the
radial and angular parts, respectively. Radial coordinates an d
weights were remapped using the formula of Treutler &
Ahlrichs (1995). The integrations involved 100 radial and 434
angular quadrature points. Interaction energies were calcu-
lated between pairs of neighboring molecules in contact, for
which two atoms were separated by a distance lower than or
equal to the sum of their van der Waals radii.
The interaction energy values were computed as an integral
over the electron density (obtained from the multipolar
refinement) of molecule A multiplied by the electrostatic
potential of molecule B, or reciprocally
E
elec
¼
Z
A
B
dr
A
¼
Z
B
A
dr
B
: ð1Þ
3. Results and discussions
3.1. Crystal structure
Here we report the structure of a new hydrate form of
quercetin crystallized in the monoclinic centrosymmetric
space group P2
1
/c with Z = 4 determined from X-ray
diffraction data. In the present case quercetin crystallized with
one water molecule in the asymmetric unit. The structural
details and the statistical parameters from the spheric al atom
refinement of X-ray diffraction data are listed in Tables 2 and
research papers
66 Sławomir Domagała et al.
Analysis and multipole modelling Acta Cryst. (2011). B67, 63–78
Figure 2
ORTEP diagram of quercetin monohydrate at 110 K with 90%
probability ellipsoids showing (a) the atomic labelling scheme and (b)
the S
12
similarity index (Whitten & Spackman, 2006) values. The ellipsoid
diagrams from (a) IAM_R and (b) TAAM_R models were generated
using ORTEPIII (Johnson & Burnett, 1996; Farrugia, 1997).
electronic reprint

Citations
More filters
Journal ArticleDOI
TL;DR: In this paper, a broad spectrum of possible activities and potential applications of flavonoids coordinated to metal ions is discussed in order to give our readers a broad view on the topic of this class of compounds, their activity, and their potential applications.
Abstract: Flavonoids are widely occurring polyphenol compounds of plant origin with multiple biological and chemical activities. Due to the presence of carbonyl and hydroxyl groups they can coordinate metal ions and form complexes. Metal complexes of flavonoids have many interesting properties: they are colored, often fluorescent, anti- or pro-oxidant, antimicrobial, antiproliferative and biologically active in many other ways. There are many papers covering specific aspects of activity of flavonoid metal complexes, e.g. their antioxidant properties, enzyme-mimicking behavior, therapeutic potential or use in chemical analysis. However, for a researcher interested in this theme, it would be useful to find an extensive review on more than one selected area. Our aim was to cover a wide spectrum of possible activities and potential applications of flavonoids coordinated to metal ions in order to give our readers a broad view on the topic of this class of compounds, their activity and potential applications. While a significant amount of information on the chemical properties and biological activity of flavonoid metal complexes can be found in the literature, an in-depth understanding of structure–property relationships is still lacking. In an attempt to address this issue, a comprehensive discussion of the available data is presented.

258 citations

Journal ArticleDOI
TL;DR: An atom-centered, symmetry-adapted framework is introduced to machine-learn the valence charge density based on a small number of reference calculations, which can be used to interpret experiments, accelerate electronic structure calculations, and compute electrostatic interactions in molecules and condensed-phase systems.
Abstract: The electronic charge density plays a central role in determining the behavior of matter at the atomic scale, but its computational evaluation requires demanding electronic-structure calculations We introduce an atom-centered, symmetry-adapted framework to machine-learn the valence charge density based on a small number of reference calculations The model is highly transferable, meaning it can be trained on electronic-structure data of small molecules and used to predict the charge density of larger compounds with low, linear-scaling cost Applications are shown for various hydrocarbon molecules of increasing complexity and flexibility, and demonstrate the accuracy of the model when predicting the density on octane and octatetraene after training exclusively on butane and butadiene This transferable, data-driven model can be used to interpret experiments, accelerate electronic structure calculations, and compute electrostatic interactions in molecules and condensed-phase systems

191 citations

Journal ArticleDOI
TL;DR: The use of the high resolution phenol hydroxyl group 1H-NMR spectral region provides a general method for the analysis of complex plant extracts without the need for the isolation of the individual components.
Abstract: Experimental parameters that influence the resolution of 1H-NMR phenol OH signals are critically evaluated with emphasis on the effects of pH, temperature and nature of the solvents. Extremely sharp peaks (Δν1/2 ≤ 2 Hz) can be obtained under optimized experimental conditions which allow the application of 1H-13C HMBC-NMR experiments to reveal long range coupling constants of hydroxyl protons and, thus, to provide unequivocal assignment of the OH signals even in cases of complex polyphenol natural products. Intramolecular and intermolecular hydrogen bonds have a very significant effect on 1H OH chemical shifts which cover a region from 4.5 up to 19 ppm. Solvent effects on –OH proton chemical shifts, temperature coefficients (Δδ/ΔT), OH diffusion coefficients, and nJ(13C, O1H) coupling constants are evaluated as indicators of hydrogen bonding and solvation state of phenol –OH groups. Accurate 1H chemical shifts of the OH groups can be calculated using a combination of DFT and discrete solute-solvent hydrogen bond interaction at relatively inexpensive levels of theory, namely, DFT/B3LYP/6-311++G (2d,p). Excellent correlations between experimental 1H chemical shifts and those calculated at the ab initio level can provide a method of primary interest in order to obtain structural and conformational description of solute-solvent interactions at a molecular level. The use of the high resolution phenol hydroxyl group 1H-NMR spectral region provides a general method for the analysis of complex plant extracts without the need for the isolation of the individual components.

116 citations


Cites background from "Structural analysis and multipole m..."

  • ...[43] very recently provided a charge-density analysis of accurate high-resolution single-crystal X-ray diffraction data of quercetin monohydrate....

    [...]

Journal ArticleDOI
TL;DR: A transferable and scalable machine-learning model capable of predicting the total electron density directly from the atomic coordinates is presented, used to access qualitative and quantitative insights beyond the underlying ρ(r) in a diverse ensemble of sidechain–sidechain dimers extracted from the BioFragment database.
Abstract: Chemists continuously harvest the power of non-covalent interactions to control phenomena in both the micro- and macroscopic worlds. From the quantum chemical perspective, the strategies essentially rely upon an in-depth understanding of the physical origin of these interactions, the quantification of their magnitude and their visualization in real-space. The total electron density ρ(r) represents the simplest yet most comprehensive piece of information available for fully characterizing bonding patterns and non-covalent interactions. The charge density of a molecule can be computed by solving the Schrodinger equation, but this approach becomes rapidly demanding if the electron density has to be evaluated for thousands of different molecules or very large chemical systems, such as peptides and proteins. Here we present a transferable and scalable machine-learning model capable of predicting the total electron density directly from the atomic coordinates. The regression model is used to access qualitative and quantitative insights beyond the underlying ρ(r) in a diverse ensemble of sidechain–sidechain dimers extracted from the BioFragment database (BFDb). The transferability of the model to more complex chemical systems is demonstrated by predicting and analyzing the electron density of a collection of 8 polypeptides.

106 citations

Journal ArticleDOI
TL;DR: The deformation electron densities, electrostatic potentials and interaction energies calculated for several tripeptides and aromatic molecules are calculated using ELMam2 electron-density parameters and compared with the former ELMAM database and density functional theory calculations.
Abstract: ELMAM2 is a generalized and improved library of experimentally derived multipolar atom types. The previously published ELMAM database is restricted mostly to protein atoms. The current database is extended to common functional groups encountered in organic molecules and is based on optimized local axes systems taking into account the local pseudosymmetry of the molecular fragment. In this approach, the symmetry-restricted multipoles have zero populations, while others take generally significant values. The various applications of the database are described. The deformation electron densities, electrostatic potentials and interaction energies calculated for several tripeptides and aromatic molecules are calculated using ELMAM2 electron-density parameters and compared with the former ELMAM database and density functional theory calculations.

100 citations


Cites background or methods or result from "Structural analysis and multipole m..."

  • ...A typical example of applications of the new ELMAM2 database for the common aromatic systems is given in the study of quercetin monohydrate (Domagała et al., 2011)....

    [...]

  • ...…on the electron-density properties of the systems and omit the analysis of the geometric parameters, as several publications have already treated those aspects thoroughly (Jelsch et al., 1998; Dittrich, Strümpel et al., 2006; Dittrich et al., 2008; Bąk et al., 2009, 2011; Domagała et al., 2011)....

    [...]

  • ...…al., 2002), resorcinol (Bacon & Jude, 1973), p-nitrophenol forms and (Kulkarni et al., 1998), p-nitroaniline (Nieger, 2007), p-nitrobenzoic acid (Groth, 1980), 2,5-dihydroxybenzoic acid (Cohen et al., 2007), p-dinitrobenzene (Tonogaki et al., 1993) and quercetin monohydrate (Domagała et al., 2011)....

    [...]

  • ...This is in agreement with earlier corroborations (Bąk et al., 2011; Domagała et al., 2011; Zarychta et al., 2011)....

    [...]

References
More filters
Journal ArticleDOI
TL;DR: In this article, a semi-empirical exchange correlation functional with local spin density, gradient, and exact exchange terms was proposed. But this functional performed significantly better than previous functionals with gradient corrections only, and fits experimental atomization energies with an impressively small average absolute deviation of 2.4 kcal/mol.
Abstract: Despite the remarkable thermochemical accuracy of Kohn–Sham density‐functional theories with gradient corrections for exchange‐correlation [see, for example, A. D. Becke, J. Chem. Phys. 96, 2155 (1992)], we believe that further improvements are unlikely unless exact‐exchange information is considered. Arguments to support this view are presented, and a semiempirical exchange‐correlation functional containing local‐spin‐density, gradient, and exact‐exchange terms is tested on 56 atomization energies, 42 ionization potentials, 8 proton affinities, and 10 total atomic energies of first‐ and second‐row systems. This functional performs significantly better than previous functionals with gradient corrections only, and fits experimental atomization energies with an impressively small average absolute deviation of 2.4 kcal/mol.

87,732 citations


"Structural analysis and multipole m..." refers methods in this paper

  • ...…from X-ray diffraction and, using this as a starting point, full geometry optimization was performed using density functional theory (DFT; Hohenberg & Kohn, 1964) and with the B3LYP hybrid functional (Lee et al., 1988; Becke, 1993) using the 6-31G(d,p) basis set (Hari- haran & Pople, 1973)....

    [...]

Journal ArticleDOI
TL;DR: Numerical calculations on a number of atoms, positive ions, and molecules, of both open- and closed-shell type, show that density-functional formulas for the correlation energy and correlation potential give correlation energies within a few percent.
Abstract: A correlation-energy formula due to Colle and Salvetti [Theor. Chim. Acta 37, 329 (1975)], in which the correlation energy density is expressed in terms of the electron density and a Laplacian of the second-order Hartree-Fock density matrix, is restated as a formula involving the density and local kinetic-energy density. On insertion of gradient expansions for the local kinetic-energy density, density-functional formulas for the correlation energy and correlation potential are then obtained. Through numerical calculations on a number of atoms, positive ions, and molecules, of both open- and closed-shell type, it is demonstrated that these formulas, like the original Colle-Salvetti formulas, give correlation energies within a few percent.

84,646 citations


"Structural analysis and multipole m..." refers methods in this paper

  • ...…from X-ray diffraction and, using this as a starting point, full geometry optimization was performed using density functional theory (DFT; Hohenberg & Kohn, 1964) and with the B3LYP hybrid functional (Lee et al., 1988; Becke, 1993) using the 6-31G(d,p) basis set (Hari- haran & Pople, 1973)....

    [...]

Journal ArticleDOI
TL;DR: This paper could serve as a general literature citation when one or more of the open-source SH ELX programs (and the Bruker AXS version SHELXTL) are employed in the course of a crystal-structure determination.
Abstract: An account is given of the development of the SHELX system of computer programs from SHELX-76 to the present day. In addition to identifying useful innovations that have come into general use through their implementation in SHELX, a critical analysis is presented of the less-successful features, missed opportunities and desirable improvements for future releases of the software. An attempt is made to understand how a program originally designed for photographic intensity data, punched cards and computers over 10000 times slower than an average modern personal computer has managed to survive for so long. SHELXL is the most widely used program for small-molecule refinement and SHELXS and SHELXD are often employed for structure solution despite the availability of objectively superior programs. SHELXL also finds a niche for the refinement of macromolecules against high-resolution or twinned data; SHELXPRO acts as an interface for macromolecular applications. SHELXC, SHELXD and SHELXE are proving useful for the experimental phasing of macromolecules, especially because they are fast and robust and so are often employed in pipelines for high-throughput phasing. This paper could serve as a general literature citation when one or more of the open-source SHELX programs (and the Bruker AXS version SHELXTL) are employed in the course of a crystal-structure determination.

81,116 citations


"Structural analysis and multipole m..." refers methods in this paper

  • ...The ADPs of the H atoms were scaled according to Ueq of the carrying atoms (URATIO restraint) in an analogous way to SHELX (Sheldrick, 2008)....

    [...]

  • ...Structure solution and the initial stages of refinement were carried out using SHELX97 (Sheldrick, 2008) with full-matrix least-squares and based on F2....

    [...]

  • ...IAM_R TAAM_R TAAM_THEO_R Crystal data a, b, c (Å) 8.737 (1), 4.852 (1), 30.160 (1) ( ) 95.52 (1) V (Å3) 1272.6 (3) (mm 1) 0.138 Crystal size (mm) 0.35 0.19 0.16 Data collection Tmin, Tmax 0.672, 1.000 No. of measured, independent and observed [I > 2.0 (I)] reflections 69 706, 2652, 2565 Rint 0.017 Refinement R[F2 > 2 (F2)], wR(F2), S 0.039, 0.054, 2.19 0.020, 0.028, 1.11 0.020, 0.027, 1.11 No. of reflections 2652 2652 2652 max, min (e Å 3) 0.39, 0.24 0.14, 0.16 0.15, 0.18 Computer programs used: CrysAlisPro (Oxford Diffraction, 2009), SHELXL97 (Sheldrick, 2008), MoPro (Jelsch et al., 2005). dipole (dz) components along with the monopole function....

    [...]

  • ...…0.028, 1.11 0.020, 0.027, 1.11 No. of reflections 2652 2652 2652 max, min (e Å 3) 0.39, 0.24 0.14, 0.16 0.15, 0.18 Computer programs used: CrysAlisPro (Oxford Diffraction, 2009), SHELXL97 (Sheldrick, 2008), MoPro (Jelsch et al., 2005). dipole (dz) components along with the monopole function....

    [...]

Journal ArticleDOI
TL;DR: In this article, the ground state of an interacting electron gas in an external potential was investigated and it was proved that there exists a universal functional of the density, called F[n(mathrm{r})], independent of the potential of the electron gas.
Abstract: This paper deals with the ground state of an interacting electron gas in an external potential $v(\mathrm{r})$. It is proved that there exists a universal functional of the density, $F[n(\mathrm{r})]$, independent of $v(\mathrm{r})$, such that the expression $E\ensuremath{\equiv}\ensuremath{\int}v(\mathrm{r})n(\mathrm{r})d\mathrm{r}+F[n(\mathrm{r})]$ has as its minimum value the correct ground-state energy associated with $v(\mathrm{r})$. The functional $F[n(\mathrm{r})]$ is then discussed for two situations: (1) $n(\mathrm{r})={n}_{0}+\stackrel{\ifmmode \tilde{}\else \~{}\fi{}}{n}(\mathrm{r})$, $\frac{\stackrel{\ifmmode \tilde{}\else \~{}\fi{}}{n}}{{n}_{0}}\ensuremath{\ll}1$, and (2) $n(\mathrm{r})=\ensuremath{\phi}(\frac{\mathrm{r}}{{r}_{0}})$ with $\ensuremath{\phi}$ arbitrary and ${r}_{0}\ensuremath{\rightarrow}\ensuremath{\infty}$. In both cases $F$ can be expressed entirely in terms of the correlation energy and linear and higher order electronic polarizabilities of a uniform electron gas. This approach also sheds some light on generalized Thomas-Fermi methods and their limitations. Some new extensions of these methods are presented.

38,160 citations

17 Jun 1964

28,969 citations


"Structural analysis and multipole m..." refers methods in this paper

  • ...…obtained from X-ray diffraction and, using this as a starting point, full geometry optimization was performed using density functional theory (DFT; Hohenberg & Kohn, 1964) and with the B3LYP hybrid functional (Lee et al., 1988; Becke, 1993) using the 6-31G(d,p) basis set (Hari- haran & Pople,…...

    [...]

Frequently Asked Questions (13)
Q1. What contributions have the authors mentioned in the paper "Structural analysis and multipole modelling of quercetin monohydrate – a quantitative and comparative study" ?

Copyright c © International Union of Crystallography Author ( s ) of this paper may load this reprint on their own web site or institutional repository provided that this cover page is retained. Republication of this article or its storage in electronic databases other than as specified above is not permitted without prior permission in writing from the IUCr. For further information see http: //journals. iucr. org/services/authorrights. 

The transfer provides values for the electron-density derived properties (dipole moments, electrostatic potentials and electrostatic interaction energies) only within a transferability approximation. 

In order to keep both molecules neutral and to allow better comparison with the transferred model, during the refinement no charge transfer was allowed between the quercetin and the water molecule. 

To estimate the accuracy of the predicted properties, analysis of a greater sample of the transferred electron-density parameters for several molecules is required. 

The deviation from the neutron mean distances, defined as dmodel dneutron, is smaller than 1 neut for O—H and 2.6 neut for C—H bonds in TAAM_UR. 

note the limitations of the transferred model, which does not take into account atom polarization owing to local chemical environments. 

The electron lone pairs of the O atom are separated by three contour levels in the THEO_OPT model, whereas for the TAAM_OPT model the lone pairs are separated by only one contour level. 

The calculated 13C shielding parameters and bond-order parameters indicate that the quercetin monohydrate with syn conformation is the favoured one (Olejniczak & Potrzebowski, 2004). 

While viewed down the c axis, the molecules are found to intersect each other almost perpendicularly (inter-planarangle 85 ) to form the parallel stripes of the ‘fishing net’ running along the a axis (Fig. 4). 

In the case of the quercetin dihydrate structure, the dihedral angle (O1—C2— C11—C16) between the benzopyran rings and the catechol ring is 175.0 (anti orientation). 

The water molecule bridging the same type of molecule (AA and BB) via O—H O and C—H O hydrogen bonds plays a major role in the formation of three-dimensional networks (Table 5). 

2. This index, introduced by Whitten & Spackman (2006), is expressed as S12 = 100(1 R12), where R12 describes the overlap between probability density functions for the two ADP tensors U asR12 ¼ Z ½p1 xð Þp2 xð Þ 1=2 d3x ¼ 23=2 det U 11 U 1 21=4 det U 11 þU 12 1=2 : ð2ÞTherefore, the similarity index can be used to describe the percentage difference of two probability density functions. 

The introduction of multipolar parameters allows deconvolution of the ADPs from bonding density and improves the reliability of the displacement parameters (Brock et al., 1991; Jelsch et al., 1998).