Literature DB >> 17260980

Virtual exploration of the chemical universe up to 11 atoms of C, N, O, F: assembly of 26.4 million structures (110.9 million stereoisomers) and analysis for new ring systems, stereochemistry, physicochemical properties, compound classes, and drug discovery.

Tobias Fink1, Jean-Louis Reymond.   

Abstract

All molecules of up to 11 atoms of C, N, O, and F possible under consideration of simple valency, chemical stability, and synthetic feasibility rules were generated and collected in a database (GDB). GDB contains 26.4 million molecules (110.9 million stereoisomers), including three- and four-membered rings and triple bonds. By comparison, only 63 857 compounds of up to 11 atoms were found in public databases (a combination of PubChem, ChemACX, ChemSCX, NCI open database, and the Merck Index). A total of 538 of the 1208 ring systems in GDB are currently unknown in the CAS Registry and Beilstein databases in any carbon/heteroatom/multiple-bond combination or as a substructure. Over 70% of GDB molecules are chiral. Because of their small size, all compounds obey Lipinski's bioavailability rule. A total of 13.2 million compounds also follow Congreve's "Rule of 3" for lead-likeness. A Kohonen map trained with autocorrelation descriptors organizes GDB according to compound classes and shows that leadlike compounds are most abundant in chiral regions of fused carbocycles and fused heterocycles. The projection of known compounds into this map indicates large uncharted areas of chemical space. The potential of GDB for drug discovery is illustrated by virtual screening for kinase inhibitors, G-protein coupled receptor ligands, and ion-channel modulators. The database is available from the author's Web page.

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Year:  2007        PMID: 17260980     DOI: 10.1021/ci600423u

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


  67 in total

1.  Focused enumeration and assessing the structural diversity of scaffold libraries: conformationally restricted bicyclic secondary diamines.

Authors:  Oleksandr O Grygorenko; Roman Prytulyak; Dmitriy M Volochnyuk; Volodymyr Kudrya; Oleksiy V Khavryuchenko; Igor V Komarov
Journal:  Mol Divers       Date:  2012-07-03       Impact factor: 2.943

2.  Fragment-based and structure-guided discovery and optimization of Rho kinase inhibitors.

Authors:  Rongshi Li; Mathew P Martin; Yan Liu; Binglin Wang; Ronil A Patel; Jin-Yi Zhu; Nan Sun; Roberta Pireddu; Nicholas J Lawrence; Jiannong Li; Eric B Haura; Shen-Shu Sung; Wayne C Guida; Ernst Schonbrunn; Said M Sebti
Journal:  J Med Chem       Date:  2012-02-15       Impact factor: 7.446

Review 3.  Community benchmarks for virtual screening.

Authors:  John J Irwin
Journal:  J Comput Aided Mol Des       Date:  2008-02-14       Impact factor: 3.686

4.  Docking for fragment inhibitors of AmpC beta-lactamase.

Authors:  Denise G Teotico; Kerim Babaoglu; Gabriel J Rocklin; Rafaela S Ferreira; Anthony M Giannetti; Brian K Shoichet
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-22       Impact factor: 11.205

Review 5.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

Review 6.  Exploring chemical space for drug discovery using the chemical universe database.

Authors:  Jean-Louis Reymond; Mahendra Awale
Journal:  ACS Chem Neurosci       Date:  2012-04-25       Impact factor: 4.418

Review 7.  Impact of high-throughput screening in biomedical research.

Authors:  Ricardo Macarron; Martyn N Banks; Dejan Bojanic; David J Burns; Dragan A Cirovic; Tina Garyantes; Darren V S Green; Robert P Hertzberg; William P Janzen; Jeff W Paslay; Ulrich Schopfer; G Sitta Sittampalam
Journal:  Nat Rev Drug Discov       Date:  2011-03       Impact factor: 84.694

Review 8.  The rise of fragment-based drug discovery.

Authors:  Christopher W Murray; David C Rees
Journal:  Nat Chem       Date:  2009-06       Impact factor: 24.427

9.  Molpher: a software framework for systematic chemical space exploration.

Authors:  David Hoksza; Petr Skoda; Milan Voršilák; Daniel Svozil
Journal:  J Cheminform       Date:  2014-03-21       Impact factor: 5.514

Review 10.  Fragment-based approaches to enzyme inhibition.

Authors:  Alessio Ciulli; Chris Abell
Journal:  Curr Opin Biotechnol       Date:  2007-10-24       Impact factor: 9.740

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