Literature DB >> 26580122

Exploration of gated ligand binding recognizes an allosteric site for blocking FABP4-protein interaction.

Yan Li1, Xiang Li2, Zigang Dong1.   

Abstract

Fatty acid binding protein 4 (FABP4), reversibly binding to fatty acids and other lipids with high affinities, is a potential target for treatment of cancers. The binding site of FABP4 is buried in an interior cavity and thereby ligand binding/unbinding is coupled with opening/closing of FABP4. It is a difficult task both experimentally and computationally to illuminate the entry or exit pathway, especially with the conformational gating. In this report we combine extensive computer simulations, clustering analysis, and the Markov state model to investigate the binding mechanism of FABP4 and troglitazone. Our simulations capture spontaneous binding and unbinding events as well as the conformational transition of FABP4 between the open and closed states. An allosteric binding site on the protein surface is recognized for the development of novel FABP4 inhibitors. The binding affinity is calculated and compared with the experimental value. The kinetic analysis suggests that ligand residence on the protein surface may delay the binding process. Overall, our results provide a comprehensive picture of ligand diffusion on the protein surface, ligand migration into the buried cavity, and the conformational change of FABP4 at an atomic level.

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Year:  2015        PMID: 26580122      PMCID: PMC4668205          DOI: 10.1039/c5cp04784f

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  51 in total

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7.  Conformation gating as a mechanism for enzyme specificity.

Authors:  H X Zhou; S T Wlodek; J A McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  1998-08-04       Impact factor: 11.205

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Authors:  Martin Held; Philipp Metzner; Jan-Hendrik Prinz; Frank Noé
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9.  Insights into the dynamics of HIV-1 protease: a kinetic network model constructed from atomistic simulations.

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10.  Conformational Transition Pathways of Epidermal Growth Factor Receptor Kinase Domain from Multiple Molecular Dynamics Simulations and Bayesian Clustering.

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Journal:  J Chem Theory Comput       Date:  2014-06-18       Impact factor: 6.006

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