Literature DB >> 17238257

Solvated interaction energy (SIE) for scoring protein-ligand binding affinities. 1. Exploring the parameter space.

Marwen Naïm1, Sathesh Bhat, Kathryn N Rankin, Sheldon Dennis, Shafinaz F Chowdhury, Imran Siddiqi, Piotr Drabik, Traian Sulea, Christopher I Bayly, Araz Jakalian, Enrico O Purisima.   

Abstract

We present a binding free energy function that consists of force field terms supplemented by solvation terms. We used this function to calibrate the solvation model along with the binding interaction terms in a self-consistent manner. The motivation for this approach was that the solute dielectric-constant dependence of calculated hydration gas-to-water transfer free energies is markedly different from that of binding free energies (J. Comput. Chem. 2003, 24, 954). Hence, we sought to calibrate directly the solvation terms in the context of a binding calculation. The five parameters of the model were systematically scanned to best reproduce the absolute binding free energies for a set of 99 protein-ligand complexes. We obtained a mean unsigned error of 1.29 kcal/mol for the predicted absolute binding affinity in a parameter space that was fairly shallow near the optimum. The lowest errors were obtained with solute dielectric values of Din = 20 or higher and scaling of the intermolecular van der Waals interaction energy by factors ranging from 0.03 to 0.15. The high apparent Din and strong van der Waals scaling may reflect the anticorrelation of the change in solvated potential energy and configurational entropy, that is, enthalpy-entropy compensation in ligand binding (Biophys. J. 2004, 87, 3035-3049). Five variations of preparing the protein-ligand data set were explored in order to examine the effect of energy refinement and the presence of bound water on the calculated results. We find that retaining water in the final protein structure used for calculating the binding free energy is not necessary to obtain good results; that is the continuum solvation model is sufficient. Virtual screening enrichment studies on estrogen receptor and thymidine kinase showed a good ability of the binding free energy function to recover true hits in a collection of decoys.

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Year:  2007        PMID: 17238257     DOI: 10.1021/ci600406v

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


  104 in total

1.  Exhaustive search and solvated interaction energy (SIE) for virtual screening and affinity prediction.

Authors:  Traian Sulea; Hervé Hogues; Enrico O Purisima
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2.  Binding free energy calculation with QM/MM hybrid methods for Abl-Kinase inhibitor.

Authors:  Kshatresh Dutta Dubey; Rajendra Prasad Ojha
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3.  Predictions of hydration free energies from continuum solvent with solute polarizable models: the SAMPL2 blind challenge.

Authors:  Alexandre Meunier; Jean-François Truchon
Journal:  J Comput Aided Mol Des       Date:  2010-03-31       Impact factor: 3.686

4.  Molecular dynamics studies of human receptor molecule in hemagglutinin of 1918 and 2009 H1N1 influenza viruses.

Authors:  Angelina Noviani Lee; Yossa Dwi Hartono; Tiedong Sun; Min Li Leow; Xue-wei Liu; Xuri Huang; Dawei Zhang
Journal:  J Mol Model       Date:  2010-10-27       Impact factor: 1.810

5.  Computer-aided drug design platform using PyMOL.

Authors:  Markus A Lill; Matthew L Danielson
Journal:  J Comput Aided Mol Des       Date:  2010-10-30       Impact factor: 3.686

6.  Computational determination of binding structures and free energies of phosphodiesterase-2 with benzo[1,4]diazepin-2-one derivatives.

Authors:  Bo Yang; Adel Hamza; Guangju Chen; Yan Wang; Chang-Guo Zhan
Journal:  J Phys Chem B       Date:  2010-11-15       Impact factor: 2.991

7.  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

8.  Small-molecule inhibitors identify the RAD52-ssDNA interaction as critical for recovery from replication stress and for survival of BRCA2 deficient cells.

Authors:  Sarah R Hengel; Eva Malacaria; Laura Folly da Silva Constantino; Fletcher E Bain; Andrea Diaz; Brandon G Koch; Liping Yu; Meng Wu; Pietro Pichierri; M Ashley Spies; Maria Spies
Journal:  Elife       Date:  2016-07-19       Impact factor: 8.140

9.  Small molecule obatoclax (GX15-070) antagonizes MCL-1 and overcomes MCL-1-mediated resistance to apoptosis.

Authors:  Mai Nguyen; Richard C Marcellus; Anne Roulston; Mark Watson; Lucile Serfass; S R Murthy Madiraju; Daniel Goulet; Jean Viallet; Laurent Bélec; Xavier Billot; Stephane Acoca; Enrico Purisima; Adrian Wiegmans; Leonie Cluse; Ricky W Johnstone; Pierre Beauparlant; Gordon C Shore
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-26       Impact factor: 11.205

Review 10.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

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