Literature DB >> 11427047

Calculation of relative binding free energy differences for fructose 1,6-bisphosphatase inhibitors using the thermodynamic cycle perturbation approach.

M R Reddy1, M D Erion.   

Abstract

An iterative, computer-assisted, drug design strategy that combines molecular design, molecular mechanics, molecular dynamics (MD), and free energy perturbation (FEP) calculations with compound synthesis, biochemical testing of inhibitors, and crystallographic structure determination of protein-inhibitor complexes was successfully used to predict the rank order of a series of nucleoside monophosphate analogues as fructose 1,6-bisphosphatase (FBPase) inhibitors. The X-ray structure of FBPase complexed with 5-aminoimidazole-4-carboxamide-1-beta-D-ribofuranosyl 5'-monophosphate (ZMP) provided structural information used for subsequent analogue design and free energy calculations. The FEP protocol was validated by calculating the free energy differences for the mutation of ZMP (1) to AMP (2). The calculated results showed a net gain of 1.7 kcal/mol, which agreed with the experimental result of 1.3 kcal/mol. FEP calculations were performed for 18 other AMP analogues. Inhibition constants were determined for over half of these analogues, usually after completion of the calculation, and were consistent with the predictions. Solvation free energy differences between AMP and various AMP analogues proved to be an important factor in binding free energies, suggesting that increased desolvation costs associated with the addition of polar groups to an inhibitor must be overcome by stronger ligand-protein interactions if the structural modification is to enhance inhibitor potency. The results indicate that FEP calculations predict relative binding affinities with high accuracy and provide valuable insight into the factors that influence inhibitor binding and therefore should greatly aid efforts to optimize initial lead compounds and reduce the time required for the discovery of new drug candidates.

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Year:  2001        PMID: 11427047     DOI: 10.1021/ja0103288

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  19 in total

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2.  Application of a polarizable force field to calculations of relative protein-ligand binding affinities.

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3.  Relative solvation free energies calculated using an ab initio QM/MM-based free energy perturbation method: dependence of results on simulation length.

Authors:  M Rami Reddy; Mark D Erion
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4.  An analysis of hydrophobic interactions of thymidylate synthase with methotrexate: free energy calculations involving mutant and native structures bound to methotrexate.

Authors:  Ramirededy Nageswara Reddy; Ravichandra Reddy Mutyala; Polamarasetty Aparoy; Pallu Reddanna; Mutyala Rami Reddy
Journal:  J Mol Model       Date:  2009-06-28       Impact factor: 1.810

5.  Hybrid dynamics simulation engine for metalloproteins.

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6.  Perspective: Alchemical free energy calculations for drug discovery.

Authors:  David L Mobley; Pavel V Klimovich
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7.  Homology modeling, force field design, and free energy simulation studies to optimize the activities of histone deacetylase inhibitors.

Authors:  Hwangseo Park; Sangyoub Lee
Journal:  J Comput Aided Mol Des       Date:  2004-06       Impact factor: 3.686

8.  Detailed potential of mean force studies on host-guest systems from the SAMPL6 challenge.

Authors:  Lin Frank Song; Nupur Bansal; Zheng Zheng; Kenneth M Merz
Journal:  J Comput Aided Mol Des       Date:  2018-08-24       Impact factor: 3.686

9.  Homology modeling of 5-lipoxygenase and hints for better inhibitor design.

Authors:  P Aparoy; R N Reddy; Lalitha Guruprasad; M R Reddy; P Reddanna
Journal:  J Comput Aided Mol Des       Date:  2008-01-30       Impact factor: 3.686

Review 10.  Efficient drug lead discovery and optimization.

Authors:  William L Jorgensen
Journal:  Acc Chem Res       Date:  2009-06-16       Impact factor: 22.384

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