Literature DB >> 15615527

"Lead hopping". Validation of topomer similarity as a superior predictor of similar biological activities.

Richard D Cramer1, Robert J Jilek, Stefan Guessregen, Stephanie J Clark, Bernd Wendt, Robert D Clark.   

Abstract

Two extensive studies quantifying the ability of topomer shape similarity to forecast a variety of biological similarities are described. In a prospective trial of "lead hopping", using topomer similarity for virtual screening and queries from the patent literature, biological assays of 308 selected compounds (representing 0.03% of those available, per assay type) yielded 11 successful "lead hops" in the 13 assays attempted. The hit rate averaged over all assays was 39% ("activity"defined as inhibition > or =20% at 10 microM), significantly greater than an unexpectedly high negative control hit rate of 15%. The average "Tanimoto 2D fingerprint similarity" between query and "lead hop" structures (0.36) was little more than the Tanimoto similarity between random drug-like structures. Topomer shape and Tanimoto 2D fingerprint similarities were also compared retrospectively, in their tendencies to concentrate together potential and actual drugs reported to belong to the same "activity class", for twenty classes. Among the most similar 3% of structures (corresponding to "> or =0.85 Tanimoto" for these structures), an average of 62% of the topomer similar selection possessed a near neighbor belonging to the same activity class, roughly a one-third superiority over the "Tanimoto > or = 0.85" selection containing 48% actives in avoiding false positives. Conversely, the least similar 75% of structures contained 0.3% actives for topomer similarity vs 1.0% actives for Tanimoto 2D fingerprint similarity, a 3-fold superiority for topomers in avoiding false negatives.

Mesh:

Year:  2004        PMID: 15615527     DOI: 10.1021/jm049501b

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  16 in total

1.  R-group template CoMFA combines benefits of "ad hoc" and topomer alignments using 3D-QSAR for lead optimization.

Authors:  Richard D Cramer
Journal:  J Comput Aided Mol Des       Date:  2012-06-04       Impact factor: 3.686

2.  Tautomers and topomers: challenging the uncertainties of direct physicochemical modeling.

Authors:  Richard D Cramer
Journal:  J Comput Aided Mol Des       Date:  2010-03-21       Impact factor: 3.686

Review 3.  Molecular similarity and diversity in chemoinformatics: from theory to applications.

Authors:  Ana G Maldonado; J P Doucet; Michel Petitjean; Bo-Tao Fan
Journal:  Mol Divers       Date:  2006-02       Impact factor: 2.943

Review 4.  Pushing the boundaries of 3D-QSAR.

Authors:  Richard D Cramer; Bernd Wendt
Journal:  J Comput Aided Mol Des       Date:  2007-01-26       Impact factor: 3.686

5.  Balancing focused combinatorial libraries based on multiple GPCR ligands.

Authors:  Farhad Soltanshahi; Tamsin E Mansley; Sun Choi; Robert D Clark
Journal:  J Comput Aided Mol Des       Date:  2006-10-13       Impact factor: 3.686

6.  Quantitative Series Enrichment Analysis (QSEA): a novel procedure for 3D-QSAR analysis.

Authors:  Bernd Wendt; Richard D Cramer
Journal:  J Comput Aided Mol Des       Date:  2008-02-27       Impact factor: 3.686

7.  QSAR modeling: where have you been? Where are you going to?

Authors:  Artem Cherkasov; Eugene N Muratov; Denis Fourches; Alexandre Varnek; Igor I Baskin; Mark Cronin; John Dearden; Paola Gramatica; Yvonne C Martin; Roberto Todeschini; Viviana Consonni; Victor E Kuz'min; Richard Cramer; Romualdo Benigni; Chihae Yang; James Rathman; Lothar Terfloth; Johann Gasteiger; Ann Richard; Alexander Tropsha
Journal:  J Med Chem       Date:  2014-01-06       Impact factor: 7.446

8.  Identification of novel anthrax toxin countermeasures using in silico methods.

Authors:  Ting-Lan Chiu; Kimberly M Maize; Elizabeth A Amin
Journal:  Methods Mol Biol       Date:  2013

Review 9.  Classification of scaffold-hopping approaches.

Authors:  Hongmao Sun; Gregory Tawa; Anders Wallqvist
Journal:  Drug Discov Today       Date:  2011-10-26       Impact factor: 7.851

10.  Identification of novel non-hydroxamate anthrax toxin lethal factor inhibitors by topomeric searching, docking and scoring, and in vitro screening.

Authors:  Ting-Lan Chiu; Jonathan Solberg; Satish Patil; Todd W Geders; Xia Zhang; Subhashree Rangarajan; Rawle Francis; Barry C Finzel; Michael A Walters; Derek J Hook; Elizabeth A Amin
Journal:  J Chem Inf Model       Date:  2009-12       Impact factor: 4.956

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