2004
DOI: 10.1021/ci049780b
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Retrieval of Crystallographically-Derived Molecular Geometry Information

Abstract: The crystallographically determined bond length, valence angle, and torsion angle information in the Cambridge Structural Database (CSD) has many uses. However, accessing it by means of conventional substructure searching requires nontrivial user intervention. In consequence, these valuable data have been underutilized and have not been directly accessible to client applications. The situation has been remedied by development of a new program (Mogul) for automated retrieval of molecular geometry data from the … Show more

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Cited by 893 publications
(799 citation statements)
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References 18 publications
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“…The C(7)¼O(2) bond length is 1.250(5) . The observed geometry of the ring C agrees well with similar pyranoid geometries checked with the MOGUL [17], an information base of molecular geometry derived from CSD [15], which provides rapid access to information on the preferred values of bond lengths, valence angles, and acyclic torsion angles. The CÀOH bond lengths are very similar (mean value 1.354(7) ), except for C(8)ÀO (6), with a bond lengths of 1.400(5) .…”
supporting
confidence: 71%
“…The C(7)¼O(2) bond length is 1.250(5) . The observed geometry of the ring C agrees well with similar pyranoid geometries checked with the MOGUL [17], an information base of molecular geometry derived from CSD [15], which provides rapid access to information on the preferred values of bond lengths, valence angles, and acyclic torsion angles. The CÀOH bond lengths are very similar (mean value 1.354(7) ), except for C(8)ÀO (6), with a bond lengths of 1.400(5) .…”
supporting
confidence: 71%
“…Crystallographic statistics are reported in Supplementary Information Table 1. Ligands geometry was validated with the software Mogul from the CCDC package 49 . Drawing of chemical structures was performed with MarvinSketch suite (ChemAxon, http://www.chemaxon.com/) and figures of structures were prepared using PyMOL 1.5 (Schrödinger, http://pymol.org/).…”
Section: Research Article Methodsmentioning
confidence: 99%
“…By improving this technology, it will be possible to use it quantitatively to assess 'hot spots' of interactions to recognise pharmacophores or chemophores. The CSD System also developed the two extensive knowledge bases Mogul 17,18 and IsoStar. 16 Mogul comprises more than 20 million bond lengths, valence and torsion angles organised into more than 11.5 million chemically searchable distributions, each relating to a specific chemical environment, revealing also data for chemical rings.…”
Section: 14mentioning
confidence: 99%