Literature DB >> 23754464

Estimation of relative binding free energy based on a free energy variational principle for the FKBP-ligand system.

Takeshi Ashida1, Takeshi Kikuchi.   

Abstract

Predicting an accurate binding free energy between a target protein and a ligand can be one of the most important steps in a drug discovery process. Often, many molecules must be screened to find probable high potency ones. Thus, a computational technique with low cost is highly desirable for the estimation of binding free energies of many molecules. Several techniques have thus far been developed for estimating binding free energies. Some techniques provide accurate predictions of binding free energies but high large computational cost. Other methods give good predictions but require tuning of some parameters to predict them with high accuracy. In this study, we propose a method to predict relative binding free energies with accuracy comparable to the results of prior methods but with lower computational cost and with no parameter needing to be carefully tuned. Our technique is based on the free energy variational principle. FK506 binding protein (FKBP) with 18 ligands is taken as a test system. Our results are compared to those from other widely used techniques. Our method provides a correlation coefficient (r²) of 0.80 between experimental and calculated relative binding free energies and yields an average absolute error of 0.70 kcal/mol compared to experimental values. These results are comparable to or better than results from other techniques. We also discuss the possibility to improve our method further.

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Year:  2013        PMID: 23754464     DOI: 10.1007/s10822-013-9657-3

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  32 in total

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4.  Parallelized-over-parts computation of absolute binding free energy with docking and molecular dynamics.

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Journal:  J Chem Phys       Date:  2006-08-28       Impact factor: 3.488

5.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

6.  The implementation of a fast and accurate QM/MM potential method in Amber.

Authors:  Ross C Walker; Michael F Crowley; David A Case
Journal:  J Comput Chem       Date:  2008-05       Impact factor: 3.376

7.  Fast and accurate predictions of binding free energies using MM-PBSA and MM-GBSA.

Authors:  Giulio Rastelli; Alberto Del Rio; Gianluca Degliesposti; Miriam Sgobba
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

8.  A new method for predicting binding affinity in computer-aided drug design.

Authors:  J Aqvist; C Medina; J E Samuelsson
Journal:  Protein Eng       Date:  1994-03

9.  Use of MM-PBSA in reproducing the binding free energies to HIV-1 RT of TIBO derivatives and predicting the binding mode to HIV-1 RT of efavirenz by docking and MM-PBSA.

Authors:  J Wang; P Morin; W Wang; P A Kollman
Journal:  J Am Chem Soc       Date:  2001-06-06       Impact factor: 15.419

10.  Validation and use of the MM-PBSA approach for drug discovery.

Authors:  Bernd Kuhn; Paul Gerber; Tanja Schulz-Gasch; Martin Stahl
Journal:  J Med Chem       Date:  2005-06-16       Impact factor: 7.446

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