Literature DB >> 18605681

Scaffold topologies. 2. Analysis of chemical databases.

Michael J Wester1, Sara N Pollock, Evangelos A Coutsias, Tharun Kumar Allu, Sorel Muresan, Tudor I Oprea.   

Abstract

We have systematically enumerated graph representations of scaffold topologies for up to eight-ring molecules and four-valence atoms, thus providing coverage of the lower portion of the chemical space of small molecules (Pollock et al. J. Chem. Inf. Model., this issue). Here, we examine scaffold topology distributions for several databases: ChemNavigator and PubChem for commercially available chemicals, the Dictionary of Natural Products, a set of 2742 launched drugs, WOMBAT, a database of medicinal chemistry compounds, and two subsets of PubChem, "actives" and DSSTox comprising toxic substances. We also examined a virtual database of exhaustively enumerated small organic molecules, GDB (Fink et al. Angew. Chem., Int. Ed. 2005, 44, 1504-1508), and we contrast the scaffold topology distribution from these collections to the complete coverage of up to eight-ring molecules. For reasons related, perhaps, to synthetic accessibility and complexity, scaffolds exhibiting six rings or more are poorly represented. Among all collections examined, PubChem has the greatest scaffold topological diversity, whereas GDB is the most limited. More than 50% of all entries (13 000 000+ actual and 13 000 000+ virtual compounds) exhibit only eight distinct topologies, one of which is the nonscaffold topology that represents all treelike structures. However, most of the topologies are represented by a single or very small number of examples. Within topologies, we found that three-way scaffold connections (3-nodes) are much more frequent compared to four-way (4-node) connections. Fused rings have a slightly higher frequency in biologically oriented databases. Scaffold topologies can be the first step toward an efficient coarse-grained classification scheme of the molecules found in chemical databases.

Entities:  

Mesh:

Year:  2008        PMID: 18605681      PMCID: PMC2807378          DOI: 10.1021/ci700342h

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


  12 in total

1.  Exploring chemical rings in a simple topological-descriptor space.

Authors:  A H Lipkus
Journal:  J Chem Inf Comput Sci       Date:  2001 Mar-Apr

2.  Chemography: the art of navigating in chemical space.

Authors:  T I Oprea; J Gottfries
Journal:  J Comb Chem       Date:  2001 Mar-Apr

Review 3.  Chemical space navigation in lead discovery.

Authors:  Tudor I Oprea
Journal:  Curr Opin Chem Biol       Date:  2002-06       Impact factor: 8.822

4.  Property distributions: differences between drugs, natural products, and molecules from combinatorial chemistry.

Authors:  Miklos Feher; Jonathan M Schmidt
Journal:  J Chem Inf Comput Sci       Date:  2003 Jan-Feb

5.  Charting biologically relevant chemical space: a structural classification of natural products (SCONP).

Authors:  Marcus A Koch; Ansgar Schuffenhauer; Michael Scheck; Stefan Wetzel; Marco Casaulta; Alex Odermatt; Peter Ertl; Herbert Waldmann
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-21       Impact factor: 11.205

6.  Virtual exploration of the small-molecule chemical universe below 160 Daltons.

Authors:  Tobias Fink; Heinz Bruggesser; Jean-Louis Reymond
Journal:  Angew Chem Int Ed Engl       Date:  2005-02-25       Impact factor: 15.336

7.  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.

Authors:  Tobias Fink; Jean-Louis Reymond
Journal:  J Chem Inf Model       Date:  2007-01-30       Impact factor: 4.956

8.  The properties of known drugs. 1. Molecular frameworks.

Authors:  G W Bemis; M A Murcko
Journal:  J Med Chem       Date:  1996-07-19       Impact factor: 7.446

9.  Scaffold topologies. 1. Exhaustive enumeration up to eight rings.

Authors:  Sara N Pollock; Evangelos A Coutsias; Michael J Wester; Tudor I Oprea
Journal:  J Chem Inf Model       Date:  2008-07-08       Impact factor: 4.956

10.  HierS: hierarchical scaffold clustering using topological chemical graphs.

Authors:  Steven J Wilkens; Jeff Janes; Andrew I Su
Journal:  J Med Chem       Date:  2005-05-05       Impact factor: 7.446

View more
  11 in total

1.  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

2.  Novel chemical space exploration via natural products.

Authors:  Josefin Rosén; Johan Gottfries; Sorel Muresan; Anders Backlund; Tudor I Oprea
Journal:  J Med Chem       Date:  2009-04-09       Impact factor: 7.446

Review 3.  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

4.  Ring system-based chemical graph generation for de novo molecular design.

Authors:  Tomoyuki Miyao; Hiromasa Kaneko; Kimito Funatsu
Journal:  J Comput Aided Mol Des       Date:  2016-06-14       Impact factor: 3.686

5.  Stochastic voyages into uncharted chemical space produce a representative library of all possible drug-like compounds.

Authors:  Aaron M Virshup; Julia Contreras-García; Peter Wipf; Weitao Yang; David N Beratan
Journal:  J Am Chem Soc       Date:  2013-05-02       Impact factor: 15.419

6.  Exploiting PubChem for Virtual Screening.

Authors:  Xiang-Qun Xie
Journal:  Expert Opin Drug Discov       Date:  2010-12       Impact factor: 6.098

7.  A two-step target binding and selectivity support vector machines approach for virtual screening of dopamine receptor subtype-selective ligands.

Authors:  Jingxian Zhang; Bucong Han; Xiaona Wei; Chunyan Tan; Yuzong Chen; Yuyang Jiang
Journal:  PLoS One       Date:  2012-06-15       Impact factor: 3.240

8.  Scaffold diversity of exemplified medicinal chemistry space.

Authors:  Sarah R Langdon; Nathan Brown; Julian Blagg
Journal:  J Chem Inf Model       Date:  2011-08-31       Impact factor: 4.956

9.  A chemo-centric view of human health and disease.

Authors:  Miquel Duran-Frigola; David Rossell; Patrick Aloy
Journal:  Nat Commun       Date:  2014-12-01       Impact factor: 14.919

10.  Quantifying biogenic bias in screening libraries.

Authors:  Jérôme Hert; John J Irwin; Christian Laggner; Michael J Keiser; Brian K Shoichet
Journal:  Nat Chem Biol       Date:  2009-05-31       Impact factor: 15.040

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.