Literature DB >> 12116383

Can the calculation of ligand binding free energies be improved with continuum solvent electrostatics and an ideal-gas entropy correction?

Sonja M Schwarzl1, Thomas B Tschopp, Jeremy C Smith, Stefan Fischer.   

Abstract

The prediction of a ligand binding constant requires generating three-dimensional structures of the complex concerned and reliably scoring these structures. Here, the scoring problem is investigated by examining benzamidine-like inhibitors of trypsin, a system for which errors in the structures are small. Precise and consistent binding free energies for the inhibitors are determined experimentally for this test system. To examine possible improvement of scoring methods, we test the suitability of continuum electrostatics to account for solvation effects and use an ideal-gas entropy correction to account for the changes in the degrees of freedom of the ligand. The small observed root-mean-square deviation of 0.55 kcal/mol of the calculated relative to the experimental values indicates that the essentials of the binding process have been captured. Even though all six ligands make the same salt bridge and H-bonds to the protein, the electrostatic contribution varies among the ligands by as much as 2 kcal/mol. Moreover, although the ligands are rigid and similar in size, the entropic terms also significantly affect the relative binding affinities (by up to 2.7 kcal/mol). The present approach to solvation and entropy may allow the ranking of the ligands to be considerably improved at a cost that makes the method applicable to the optimization of lead compounds or to the screening of small collections of ligands. Copyright 2002 Wiley Periodicals, Inc. J Comput Chem 23: 1143-1149, 2002

Entities:  

Year:  2002        PMID: 12116383     DOI: 10.1002/jcc.10112

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  22 in total

1.  Binding free energy calculation with QM/MM hybrid methods for Abl-Kinase inhibitor.

Authors:  Kshatresh Dutta Dubey; Rajendra Prasad Ojha
Journal:  J Biol Phys       Date:  2010-09-02       Impact factor: 1.365

2.  Virtual screening using molecular simulations.

Authors:  Tianyi Yang; Johnny C Wu; Chunli Yan; Yuanfeng Wang; Ray Luo; Michael B Gonzales; Kevin N Dalby; Pengyu Ren
Journal:  Proteins       Date:  2011-04-12

Review 3.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

4.  Experimental versus predicted affinities for ligand binding to estrogen receptor: iterative selection and rescoring of docked poses systematically improves the correlation.

Authors:  James S Wright; James M Anderson; Hooman Shadnia; Tony Durst; John A Katzenellenbogen
Journal:  J Comput Aided Mol Des       Date:  2013-08-24       Impact factor: 3.686

5.  Calculation of protein-ligand binding free energy by using a polarizable potential.

Authors:  Dian Jiao; Pavel A Golubkov; Thomas A Darden; Pengyu Ren
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-21       Impact factor: 11.205

6.  A comprehensive examination of the contributions to the binding entropy of protein-ligand complexes.

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

7.  A Mixed QM/MM Scoring Function to Predict Protein-Ligand Binding Affinity.

Authors:  Seth A Hayik; Roland Dunbrack; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2010-09-01       Impact factor: 6.006

8.  Trypsin-ligand binding free energy calculation with AMOEBA.

Authors:  Yue Shi; Dian Jiao; Michael J Schnieders; Pengyu Ren
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

9.  Trypsin-ligand binding free energies from explicit and implicit solvent simulations with polarizable potential.

Authors:  Dian Jiao; Jiajing Zhang; Robert E Duke; Guohui Li; Michael J Schnieders; Pengyu Ren
Journal:  J Comput Chem       Date:  2009-08       Impact factor: 3.376

10.  Formation pathways of a guanine-quadruplex DNA revealed by molecular dynamics and thermodynamic analysis of the substates.

Authors:  Richard Stefl; Thomas E Cheatham; Nad'a Spacková; Eva Fadrná; Imre Berger; Jaroslav Koca; Jirí Sponer
Journal:  Biophys J       Date:  2003-09       Impact factor: 4.033

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