Literature DB >> 20030298

Atom-centered interacting fragments and similarity search applications.

José Batista1, Lu Tan, Jürgen Bajorath.   

Abstract

Parts of ligands in complex crystal structures that are involved in well-defined protein-ligand interactions are extracted and encoded as ensembles of atom-centered fragments, termed atom-centered interacting fragments (AIFs), which implicitly capture three-dimensional interaction information. AIF reference sets are utilized for feature count-based ranking of databases to search for molecules having similar activity. AIF calculations are reported for eight enzyme targets with multiple crystallographic inhibitor complexes and, in addition, for a complex of a G protein coupled receptor with an antagonist. The AIF approach further increases compound recall of structural key-based fingerprints. Moreover, AIF combinations are found to be specific markers of different classes of active compounds that lead to an early enrichment of inhibitors and selective antagonists in similarity search calculations.

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Year:  2010        PMID: 20030298     DOI: 10.1021/ci9004223

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


  5 in total

1.  Freely available compound data sets and software tools for chemoinformatics and computational medicinal chemistry applications.

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Journal:  F1000Res       Date:  2012-08-14

2.  Follow up: Compound data sets and software tools for chemoinformatics and medicinal chemistry applications: update and data transfer.

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Journal:  F1000Res       Date:  2014-03-11

Review 3.  Structure-based protein-ligand interaction fingerprints for binding affinity prediction.

Authors:  Debby D Wang; Moon-Tong Chan; Hong Yan
Journal:  Comput Struct Biotechnol J       Date:  2021-11-25       Impact factor: 7.271

4.  A de novo substructure generation algorithm for identifying the privileged chemical fragments of liver X receptorβ agonists.

Authors:  He Peng; Zhihong Liu; Xin Yan; Jian Ren; Jun Xu
Journal:  Sci Rep       Date:  2017-09-11       Impact factor: 4.379

5.  From malaria to cancer: Computational drug repositioning of amodiaquine using PLIP interaction patterns.

Authors:  Sebastian Salentin; Melissa F Adasme; Jörg C Heinrich; V Joachim Haupt; Simone Daminelli; Yixin Zhang; Michael Schroeder
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

  5 in total

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