Literature DB >> 10197966

Binding preferences of hydroxamate inhibitors of the matrix metalloproteinase human fibroblast collagenase.

S Toba1, K V Damodaran, K M Merz.   

Abstract

In this paper we report molecular dynamics (MD) and free energy perturbation (FEP) studies carried out on enzyme-inhibitor (two hydroxamates that only differ by a carbon-carbon double bond) complexes of human fibroblast collagenase to obtain insights into the structural and energetic preferences of these inhibitors. We have developed a bonded model for the catalytic and structural zinc centers (Hoops, S. C.; et al. J. Am. Chem. Soc. 1991, 113, 8262-8270) where the electrostatic representation for this model was derived using a novel quantum-mechanical/molecular-mechanical (QM/MM) minimization procedure followed by electrostatic potential fitting. The resulting bonded model for the zinc ions was then used to generate MD trajectories for structural analysis and FEP studies. This model has satisfactorily reproduced the structural features of the active site, and furthermore, the FEP simulations gave relative free energies of binding in good agreement with experimental results. MD simulations in conjunction with the FEP are able to provide a structural explanation regarding why one hydroxamate inhibitor is favored over the other, and we are also able to make predictions about changes in the inhibitor that would enhance protein-inhibitor interactions.

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Year:  1999        PMID: 10197966     DOI: 10.1021/jm980577f

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  10 in total

1.  A combination of docking, QM/MM methods, and MD simulation for binding affinity estimation of metalloprotein ligands.

Authors:  Akash Khandelwal; Viera Lukacova; Dogan Comez; Daniel M Kroll; Soumyendu Raha; Stefan Balaz
Journal:  J Med Chem       Date:  2005-08-25       Impact factor: 7.446

2.  On the involvement of electron transfer reactions in the fluorescence decay kinetics heterogeneity of proteins.

Authors:  A Ababou; E Bombarda
Journal:  Protein Sci       Date:  2001-10       Impact factor: 6.725

3.  Inhibition of enzyme activity of and cell-mediated substrate cleavage by membrane type 1 matrix metalloproteinase by newly developed mercaptosulphide inhibitors.

Authors:  Douglas R Hurst; Martin A Schwartz; Yonghao Jin; Mohammad A Ghaffari; Pallavi Kozarekar; Jian Cao; Qing-Xiang Amy Sang
Journal:  Biochem J       Date:  2005-12-15       Impact factor: 3.857

4.  Modeling Structural Coordination and Ligand Binding in Zinc Proteins with a Polarizable Potential.

Authors:  Jiajing Zhang; Wei Yang; Jean-Philip Piquemal; Pengyu Ren
Journal:  J Chem Theory Comput       Date:  2012-01-02       Impact factor: 6.006

5.  QM/MM linear response method distinguishes ligand affinities for closely related metalloproteins.

Authors:  Akash Khandelwal; Stefan Balaz
Journal:  Proteins       Date:  2007-11-01

6.  Molecular docking studies of a group of hydroxamate inhibitors with gelatinase-A by molecular dynamics.

Authors:  Tingjun Hou; Wei Zhang; Xiaojie Xu
Journal:  J Comput Aided Mol Des       Date:  2002-01       Impact factor: 3.686

7.  Binding affinity of hydroxamate inhibitors of matrix metalloproteinase-2.

Authors:  Wei Zhang; Ting-Jun Hou; Xue Bin Qiao; Sun Huai; Xiao Jie Xu
Journal:  J Mol Model       Date:  2004-02-21       Impact factor: 1.810

8.  Simulation of carbohydrate-protein interactions: computer-aided design of a second generation GM1 mimic.

Authors:  A Bernardi; M Galgano; L Belvisi; G Colombo
Journal:  J Comput Aided Mol Des       Date:  2001-02       Impact factor: 3.686

Review 9.  Mechanisms of Proteolytic Enzymes and Their Inhibition in QM/MM Studies.

Authors:  Brigitta Elsässer; Peter Goettig
Journal:  Int J Mol Sci       Date:  2021-03-22       Impact factor: 5.923

10.  Free energy calculations of ALS-causing SOD1 mutants reveal common perturbations to stability and dynamics along the maturation pathway.

Authors:  Nicholas G M Wells; Grant A Tillinghast; Alison L O'Neil; Colin A Smith
Journal:  Protein Sci       Date:  2021-06-22       Impact factor: 6.993

  10 in total

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