Literature DB >> 18781280

An improved method to predict the entropy term with the MM/PBSA approach.

Jacob Kongsted1, Ulf Ryde.   

Abstract

A method is suggested to calculate improved entropies within the MM/PBSA approach (molecular mechanics combined with Poisson-Boltzmann and surface area calculations) to estimate protein-ligand binding affinities. In the conventional approach, the protein is truncated outside ~8 A from the ligand. This system is freely minimised using a distance-dependent dielectric constant (to simulate the removed protein and solvent). However, this can lead to extensive changes in the molecular geometry, giving rise to a large standard deviation in this term. In our new approach, we introduce a buffer region approximately 4 A outside the truncated protein (including solvent molecules) and keep it fixed during the minimisation. Thereby, we reduce the standard deviation by a factor of 2-4, ensuring that the entropy term no longer limits the precision of the MM/PBSA predictions. The new method is tested for the binding of seven biotin analogues to avidin, eight amidinobenzyl-indole-carboxamide inhibitors to factor Xa, and two substrates to cytochrome P450 3A4 and 2C9. It is shown that it gives more stable results and often improved predictions of the relative binding affinities.

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Year:  2008        PMID: 18781280     DOI: 10.1007/s10822-008-9238-z

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


  30 in total

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4.  Evaluating the molecular mechanics poisson-boltzmann surface area free energy method using a congeneric series of ligands to p38 MAP kinase.

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Journal:  J Med Chem       Date:  2005-12-01       Impact factor: 7.446

5.  Ligand binding affinity prediction by linear interaction energy methods.

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Journal:  J Comput Aided Mol Des       Date:  1998-01       Impact factor: 3.686

6.  Loss of translational entropy in binding, folding, and catalysis.

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Journal:  J Med Chem       Date:  2002-03-28       Impact factor: 7.446

8.  The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1994-06       Impact factor: 3.686

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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  32 in total

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3.  Computer-aided drug design platform using PyMOL.

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

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Review 6.  Current Approaches for Investigating and Predicting Cytochrome P450 3A4-Ligand Interactions.

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7.  Assessing protein-ligand binding modes with computational tools: the case of PDE4B.

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

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Review 9.  Techniques for molecular imaging probe design.

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10.  Molecular Interactions of Cephalosporins with the Deep Binding Pocket of the RND Transporter AcrB.

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Journal:  J Phys Chem B       Date:  2019-05-28       Impact factor: 2.991

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