Literature DB >> 16045293

Improved FlexX docking using FlexS-determined base fragment placement.

Simon S J Cross1.   

Abstract

We report on a novel hybrid FlexX/FlexS docking approach, whereby the base fragment of the test ligand is chosen by FlexS superposition onto a cocrystallized template ligand and then fed into FlexX for the incremental construction of the final solution. The new approach is tested on the diverse 200 protein-ligand complex dataset that has been previously described for FlexX validation. In total, 62.9% of the complexes can be reproduced at rank 1 by our approach, which compares favorably with 46.9% when using FlexX alone. In addition, we report "cross-docking" experiments in which several receptor structures of complexes with identical proteins have been used for docking all cocrystallized ligands of these complexes. The results show that, in almost all cases, the hybrid approach can acceptably dock a ligand into a foreign receptor structure using a different ligand template, can give solutions where FlexX alone fails, and tends to give solutions that are more accurately positioned.

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Year:  2005        PMID: 16045293     DOI: 10.1021/ci050026f

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


  4 in total

1.  3D-QSAR AND CONTOUR MAP ANALYSIS OF TARIQUIDAR ANALOGUES AS MULTIDRUG RESISTANCE PROTEIN-1 (MRP1) INHIBITORS.

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Journal:  Int J Pharm Sci Res       Date:  2016-02-01

2.  Benchmarking of different molecular docking methods for protein-peptide docking.

Authors:  Piyush Agrawal; Harinder Singh; Hemant Kumar Srivastava; Sandeep Singh; Gaurav Kishore; Gajendra P S Raghava
Journal:  BMC Bioinformatics       Date:  2019-02-04       Impact factor: 3.169

3.  Developing an effective polarizable bond method for small molecules with application to optimized molecular docking.

Authors:  Guanfu Duan; Changge Ji; John Z H Zhang
Journal:  RSC Adv       Date:  2020-04-20       Impact factor: 4.036

4.  Cloud infrastructures for in silico drug discovery: economic and practical aspects.

Authors:  Daniele D'Agostino; Andrea Clematis; Alfonso Quarati; Daniele Cesini; Federica Chiappori; Luciano Milanesi; Ivan Merelli
Journal:  Biomed Res Int       Date:  2013-09-10       Impact factor: 3.411

  4 in total

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