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Journal ArticleDOI

Mercury CSD 2.0 – new features for the visualization and investigation of crystal structures

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TLDR
Mercury as discussed by the authors is a crystal structure visualization tool that allows highly customizable searching of structural databases for intermolecular interaction motifs and packing patterns, as well as the ability to perform packing similarity calculations between structures containing the same compound.
Abstract
The program Mercury, developed by the Cambridge Crystallographic Data Centre, is designed primarily as a crystal structure visualization tool. A new module of functionality has been produced, called the Materials Module, which allows highly customizable searching of structural databases for intermolecular interaction motifs and packing patterns. This new module also includes the ability to perform packing similarity calculations between structures containing the same compound. In addition to the Materials Module, a range of further enhancements to Mercury has been added in this latest release, including void visualization and links to ConQuest, Mogul and IsoStar.

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Citations
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Journal ArticleDOI

Computational prediction of salt and cocrystal structures--does a proton position matter?

TL;DR: Comparing the salt and cocrystal energy landscapes shows the importance of the proton position for the relative stabilities of structures, despite the expected similarities between the ionized and neutral forms of the carboxylic acid-pyridine heterosynthon.
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Structure and nonlinear optical properties of (E)-1-(4-aminophenyl)-3-(3-chlorophenyl) prop-2-en-1-one: A promising new D-π-A-π-D type chalcone derivative crystal for nonlinear optical devices

TL;DR: In this article, a Dπ-A-π-D type chalcone derivative, (E) -1-(4-aminophenyl)-3-(3-chlorophenyl) prop-2-en-1-one (abbreviated as 3CAMC), was synthesized by Claisen-Schmidt condensation and single crystals were grown by slow evaporation solution growth technique.
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Crystal structures of alkali metal (Group 1) citrate salts

TL;DR: Comparisons of the refined and DFT-optimized structures indicate that crystal structures determined using powder diffraction data may not be as accurate as single-crystal structures.
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Novel pyrimidine-2,4-dione-1,2,3-triazole and furo[2,3-d]pyrimidine-2-one-1,2,3-triazole hybrids as potential anti-cancer agents: Synthesis, computational and X-ray analysis and biological evaluation.

TL;DR: This compound proved to be a non-mitochondrial toxicant, which makes it a promising candidate for further lead optimization and development of a new and more efficient agent for the treatment of hepatocellular carcinoma.
References
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Journal ArticleDOI

Patterns in Hydrogen Bonding: Functionality and Graph Set Analysis in Crystals

TL;DR: In this article, a review of the most promising systematic approaches to resolving this enigma was initially developed by the late M. C. Etter, who applied graph theory to recognize, and then utilize, patterns of hydrogen bonding for the understanding and design of molecular crystals.
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Mercury: visualization and analysis of crystal structures

TL;DR: Mercury as discussed by the authors is a crystal structure visualization program that allows to display multiple structures simultaneously and overlay them, which can be used for comparison between crystal structures and to overlay them in a table or spreadsheets.
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Retrieval of Crystallographically-Derived Molecular Geometry Information

TL;DR: Validation experiments indicate that, with rare exceptions, search results afford precise and unbiased estimates of molecular geometrical preferences.
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IsoStar: A library of information about nonbonded interactions

TL;DR: Crystallographic and theoretical data on intermolecular nonbonded interactions have been gathered together in a computerised library (’IsoStar‘) and show that there is great variability in the geometrical preferences of different types of hydrogen bonds.
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COMPACK: a program for identifying crystal structure similarity using distances

TL;DR: In this article, the relative position and orientation of molecules are captured using interatomic distances, which provide a representation of structure that avoids the use of space-group and cell information, and can be used to determine whether two crystal structures are the same to within specified tolerances.
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