Journal ArticleDOI
Development and testing of a general amber force field.
Reads0
Chats0
TLDR
A general Amber force field for organic molecules is described, designed to be compatible with existing Amber force fields for proteins and nucleic acids, and has parameters for most organic and pharmaceutical molecules that are composed of H, C, N, O, S, P, and halogens.Abstract:
We describe here a general Amber force field (GAFF) for organic molecules. GAFF is designed to be compatible with existing Amber force fields for proteins and nucleic acids, and has parameters for most organic and pharmaceutical molecules that are composed of H, C, N, O, S, P, and halogens. It uses a simple functional form and a limited number of atom types, but incorporates both empirical and heuristic models to estimate force constants and partial atomic charges. The performance of GAFF in test cases is encouraging. In test I, 74 crystallographic structures were compared to GAFF minimized structures, with a root-mean-square displacement of 0.26 A, which is comparable to that of the Tripos 5.2 force field (0.25 A) and better than those of MMFF 94 and CHARMm (0.47 and 0.44 A, respectively). In test II, gas phase minimizations were performed on 22 nucleic acid base pairs, and the minimized structures and intermolecular energies were compared to MP2/6-31G* results. The RMS of displacements and relative energies were 0.25 A and 1.2 kcal/mol, respectively. These data are comparable to results from Parm99/RESP (0.16 A and 1.18 kcal/mol, respectively), which were parameterized to these base pairs. Test III looked at the relative energies of 71 conformational pairs that were used in development of the Parm99 force field. The RMS error in relative energies (compared to experiment) is about 0.5 kcal/mol. GAFF can be applied to wide range of molecules in an automatic fashion, making it suitable for rational drug design and database searching.read more
Citations
More filters
Journal ArticleDOI
Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems.
John A. Keith,Valentin Vassilev-Galindo,Bingqing Cheng,Stefan Chmiela,Michael Gastegger,Klaus-Robert Müller,Alexandre Tkatchenko +6 more
TL;DR: A critical review of noteworthy applications that demonstrate how computational chemistry and machine learning can be used together to provide insightful predictions in molecular and materials modeling, retrosyntheses, catalysis, and drug design are reviewed.
Journal ArticleDOI
Electronic Absorption Spectra from MM and ab Initio QM/MM Molecular Dynamics: Environmental Effects on the Absorption Spectrum of Photoactive Yellow Protein
TL;DR: It is shown that 40 or more surrounding water molecules must be included in the QM region in order to obtain converged excitation energies of the solvated PYP chromophore.
Journal ArticleDOI
Measuring electrostatic fields in both hydrogen-bonding and non-hydrogen-bonding environments using carbonyl vibrational probes.
TL;DR: The present results suggest that carbonyl probes are capable of quantitatively assessing the electrostatics of hydrogen bonding, making them promising for future study of protein function.
Journal ArticleDOI
The impact of molecular dynamics on drug design: applications for the characterization of ligand-macromolecule complexes.
Jérémie Mortier,Christin Rakers,Marcel Bermudez,Manuela S. Murgueitio,Sereina Riniker,Gerhard Wolber +5 more
TL;DR: This review shows how deeply embedded MD simulations are in drug design strategies and articulates what the future of this technique could be.
Journal ArticleDOI
MOF-FF – A flexible first-principles derived force field for metal-organic frameworks
Sareeya Bureekaew,Saeed Amirjalayer,Saeed Amirjalayer,Maxim Tafipolsky,Maxim Tafipolsky,Christian Spickermann,Christian Spickermann,Tapta Kanchan Roy,Tapta Kanchan Roy,Rochus Schmid +9 more
TL;DR: In this paper, the development, definition and selected applications of a new force field (FF) for metal-organic frameworks MOF-FF is presented, which is fully flexible and is parameterized in a systematic and consistent fashion from first principles reference data.
References
More filters
Journal ArticleDOI
A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules
Wendy D. Cornell,Piotr Cieplak,Piotr Cieplak,Christopher I. Bayly,Christopher I. Bayly,Ian R. Gould,Ian R. Gould,Kenneth M. Merz,Kenneth M. Merz,David M. Ferguson,David M. Ferguson,David C. Spellmeyer,David C. Spellmeyer,Thomas R. Fox,James W. Caldwell,Peter A. Kollman +15 more
TL;DR: Weiner et al. as mentioned in this paper derived a new molecular mechanical force field for simulating the structures, conformational energies, and interaction energies of proteins, nucleic acids, and many related organic molecules in condensed phases.
Journal ArticleDOI
A well-behaved electrostatic potential based method using charge restraints for deriving atomic charges: the RESP model
TL;DR: In this paper, the authors present an approach to generate electrostatic potential (ESP) derived charges for molecules, which optimally reproduce the intermolecular interaction properties of molecules with a simple two-body additive potential, provided that a suitably accurate level of quantum mechanical calculation is used to derive the ESP around the molecule.
Journal ArticleDOI
Merck molecular force field. I. Basis, form, scope, parameterization, and performance of MMFF94
TL;DR: The first published version of the Merck molecular force field (MMFF) is MMFF94 as mentioned in this paper, which is based on the OPLS force field and has been applied to condensed-phase processes.
Journal ArticleDOI
A new force field for molecular mechanical simulation of nucleic acids and proteins
S. J. Weiner,Peter A. Kollman,David A. Case,U. C. Singh,Caterina Ghio,Giuliano Alagona,Salvatore Profeta,Paul K. Weiner +7 more
TL;DR: In this paper, a force field for simulation of nucleic acids and proteins is presented, which is based on the ECEPP, UNECEPP, and EPEN energy refinement software.
Journal ArticleDOI
How Well Does a Restrained Electrostatic Potential (RESP) Model Perform in Calculating Conformational Energies of Organic and Biological Molecules
TL;DR: In this paper, the authors present conformational energies for a molecular mechanical model (Parm99) developed for organic and biological molecules using the restrained electrostatic potential (RESP) approach to derive the partial charges.