Literature DB >> 16404529

Similarity study of serine proteases inhibitors.

Gleb D Perekhodtsev1.   

Abstract

Two-dimensional structural similarity calculations have been applied to estimate binding affinities of serine proteases inhibitors. 1103 trypsin binders, 1268 thrombin binders and 714 fXa binders have been used to compare experimental and predicted data. The predictions generally provide reasonable estimates of the observed binding affinities. The accuracy of the predictions depends on the size of the dataset, but not dramatically. The accuracy also depends on the number of similar structures used to make the calculations, with a number from 3 to 6 usually being optimal. The binding affinity is noticeably more sensitive to the inhibitor structure in the case of fXa relative to thrombin.

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Year:  2006        PMID: 16404529     DOI: 10.1007/s11030-006-2153-0

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   2.943


  11 in total

1.  Protein-based virtual screening of chemical databases. 1. Evaluation of different docking/scoring combinations.

Authors:  C Bissantz; G Folkers; D Rognan
Journal:  J Med Chem       Date:  2000-12-14       Impact factor: 7.446

2.  One-dimensional molecular representations and similarity calculations: methodology and validation.

Authors:  S L Dixon; K M Merz
Journal:  J Med Chem       Date:  2001-11-08       Impact factor: 7.446

3.  Molecular similarity-based estimation of properties: a comparison of three structure spaces.

Authors:  B D Gute; S C Basak
Journal:  J Mol Graph Model       Date:  2001       Impact factor: 2.518

4.  Molecular hashkeys: a novel method for molecular characterization and its application for predicting important pharmaceutical properties of molecules.

Authors:  A M Ghuloum; C R Sage; A N Jain
Journal:  J Med Chem       Date:  1999-05-20       Impact factor: 7.446

5.  A novel scoring function for molecular docking.

Authors:  A E Muryshev; D N Tarasov; A V Butygin; O Yu Butygina; A B Aleksandrov; S M Nikitin
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

Review 6.  Why do we need so many chemical similarity search methods?

Authors:  Robert P Sheridan; Simon K Kearsley
Journal:  Drug Discov Today       Date:  2002-09-01       Impact factor: 7.851

7.  Do structurally similar molecules have similar biological activity?

Authors:  Yvonne C Martin; James L Kofron; Linda M Traphagen
Journal:  J Med Chem       Date:  2002-09-12       Impact factor: 7.446

Review 8.  Docking and scoring in virtual screening for drug discovery: methods and applications.

Authors:  Douglas B Kitchen; Hélène Decornez; John R Furr; Jürgen Bajorath
Journal:  Nat Rev Drug Discov       Date:  2004-11       Impact factor: 84.694

9.  Estimation of octanol-water partition coefficients from a molecular similarity parameter.

Authors:  G G Cash
Journal:  Chemosphere       Date:  1996-11       Impact factor: 7.086

10.  Tolerance space and molecular similarity.

Authors:  S C Basak; G D Grunwald
Journal:  SAR QSAR Environ Res       Date:  1995       Impact factor: 3.000

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