Literature DB >> 23527586

Stereo signature molecular descriptor.

Pablo Carbonell1, Lars Carlsson, Jean-Loup Faulon.   

Abstract

We present an algorithm to compute molecular graph descriptors considering the stereochemistry of the molecular structure based on our previously introduced signature molecular descriptor. The algorithm can generate two types of descriptors, one which is compliant with the Cahn-Ingold-Prelog priority rules, including complex stereochemistry structures such as fullerenes, and a computationally efficient one based on our previous definition of a directed acyclic graph that is augmented to a chiral molecular graph. The performance of the algorithm in terms of speed as a canonicalizer as well as in modeling and predicting bioactivity is evaluated, showing an overall better performance than other molecular descriptors, which is particularly relevant in modeling stereoselective biochemical reactions. The complete source code of the stereo signature molecular descriptor is available for download under an open-source license at http://molsig.sourceforge.net.

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Year:  2013        PMID: 23527586     DOI: 10.1021/ci300584r

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  15 in total

Review 1.  Chemical predictive modelling to improve compound quality.

Authors:  John G Cumming; Andrew M Davis; Sorel Muresan; Markus Haeberlein; Hongming Chen
Journal:  Nat Rev Drug Discov       Date:  2013-12       Impact factor: 84.694

Review 2.  Open source molecular modeling.

Authors:  Somayeh Pirhadi; Jocelyn Sunseri; David Ryan Koes
Journal:  J Mol Graph Model       Date:  2016-07-30       Impact factor: 2.518

3.  Many InChIs and quite some feat.

Authors:  Wendy A Warr
Journal:  J Comput Aided Mol Des       Date:  2015-06-17       Impact factor: 3.686

4.  SensiPath: computer-aided design of sensing-enabling metabolic pathways.

Authors:  Baudoin Delépine; Vincent Libis; Pablo Carbonell; Jean-Loup Faulon
Journal:  Nucleic Acids Res       Date:  2016-04-22       Impact factor: 16.971

Review 5.  Quantitative Structure-Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future.

Authors:  Andrew F Zahrt; Soumitra V Athavale; Scott E Denmark
Journal:  Chem Rev       Date:  2019-12-30       Impact factor: 60.622

6.  XTMS: pathway design in an eXTended metabolic space.

Authors:  Pablo Carbonell; Pierre Parutto; Joan Herisson; Shashi Bhushan Pandit; Jean-Loup Faulon
Journal:  Nucleic Acids Res       Date:  2014-05-03       Impact factor: 16.971

7.  ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.

Authors:  Jiangming Sun; Nina Jeliazkova; Vladimir Chupakin; Jose-Felipe Golib-Dzib; Ola Engkvist; Lars Carlsson; Jörg Wegner; Hugo Ceulemans; Ivan Georgiev; Vedrin Jeliazkov; Nikolay Kochev; Thomas J Ashby; Hongming Chen
Journal:  J Cheminform       Date:  2017-03-07       Impact factor: 5.514

8.  Neuropathy target esterase (NTE/PNPLA6) and organophosphorus compound-induced delayed neurotoxicity (OPIDN).

Authors:  Rudy J Richardson; John K Fink; Paul Glynn; Robert B Hufnagel; Galina F Makhaeva; Sanjeeva J Wijeyesakere
Journal:  Adv Neurotoxicol       Date:  2020-03-03

9.  In silico mechanistic profiling to probe small molecule binding to sulfotransferases.

Authors:  Virginie Y Martiny; Pablo Carbonell; David Lagorce; Bruno O Villoutreix; Gautier Moroy; Maria A Miteva
Journal:  PLoS One       Date:  2013-09-06       Impact factor: 3.240

10.  A new network representation of the metabolism to detect chemical transformation modules.

Authors:  Maria Sorokina; Claudine Medigue; David Vallenet
Journal:  BMC Bioinformatics       Date:  2015-11-14       Impact factor: 3.169

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