Literature DB >> 17554859

Physics-based methods for studying protein-ligand interactions.

Niu Huang1, Matthew P Jacobson.   

Abstract

The accurate prediction of relative or absolute ligand-binding affinities is challenging in both theoretical and practical aspects. However, with the aid of advanced computing power and sophisticated methodology development, physics-based free-energy calculations, which can be used to predict ligand-binding affinities, have become increasingly utilized in the field of structure-based drug design. This review summarizes recent progress made in developing and applying physics-based methods to studying protein-ligand interactions, focusing on methods using molecular mechanics force fields. Applications of these methods include predicting ligand binding poses, enriching binders in virtual screening, and calculating relative and absolute binding free energies. Future directions for further improving current physics-based methods are also discussed.

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Year:  2007        PMID: 17554859

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  19 in total

1.  Scoring and lessons learned with the CSAR benchmark using an improved iterative knowledge-based scoring function.

Authors:  Sheng-You Huang; Xiaoqin Zou
Journal:  J Chem Inf Model       Date:  2011-08-31       Impact factor: 4.956

2.  Evolutionary constraints on structural similarity in orthologs and paralogs.

Authors:  Mark E Peterson; Feng Chen; Jeffery G Saven; David S Roos; Patricia C Babbitt; Andrej Sali
Journal:  Protein Sci       Date:  2009-06       Impact factor: 6.725

3.  Absolute binding free energy calculations: on the accuracy of computational scoring of protein-ligand interactions.

Authors:  Nidhi Singh; Arieh Warshel
Journal:  Proteins       Date:  2010-05-15

4.  Automated large-scale file preparation, docking, and scoring: evaluation of ITScore and STScore using the 2012 Community Structure-Activity Resource benchmark.

Authors:  Sam Z Grinter; Chengfei Yan; Sheng-You Huang; Lin Jiang; Xiaoqin Zou
Journal:  J Chem Inf Model       Date:  2013-05-21       Impact factor: 4.956

5.  Effect of explicit water molecules on ligand-binding affinities calculated with the MM/GBSA approach.

Authors:  Paulius Mikulskis; Samuel Genheden; Ulf Ryde
Journal:  J Mol Model       Date:  2014-05-29       Impact factor: 1.810

6.  Ligand binding free-energy calculations with funnel metadynamics.

Authors:  Stefano Raniolo; Vittorio Limongelli
Journal:  Nat Protoc       Date:  2020-08-19       Impact factor: 13.491

7.  Decomposing the energetic impact of drug resistant mutations in HIV-1 protease on binding DRV.

Authors:  Yufeng Cai; Celia A Schiffer
Journal:  J Chem Theory Comput       Date:  2010-04-13       Impact factor: 6.006

8.  Binding-site assessment by virtual fragment screening.

Authors:  Niu Huang; Matthew P Jacobson
Journal:  PLoS One       Date:  2010-04-09       Impact factor: 3.240

9.  Modeling effects of human single nucleotide polymorphisms on protein-protein interactions.

Authors:  Shaolei Teng; Thomas Madej; Anna Panchenko; Emil Alexov
Journal:  Biophys J       Date:  2009-03-18       Impact factor: 4.033

10.  Automated site preparation in physics-based rescoring of receptor ligand complexes.

Authors:  Chaya S Rapp; Cheryl Schonbrun; Matthew P Jacobson; Chakrapani Kalyanaraman; Niu Huang
Journal:  Proteins       Date:  2009-10
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