Literature DB >> 26615845

Systematic Derivation of AMBER Force Field Parameters Applicable to Zinc-Containing Systems.

Fu Lin1, Renxiao Wang1.   

Abstract

Metal ions are indispensable for maintaining the structural stability and catalytic activity of metalloproteins. Molecular modeling studies of such proteins with force fields, however, are often hampered by the "missing parameter" problem. In this study, we have derived bond-stretching and angle-bending parameters applicable to zinc-containing systems which are compatible with the AMBER force field. A total of 18 model systems were used to mimic the common coordination configurations observed in the complexes formed by zinc-containing metalloproteins. The Hessian matrix of each model system computed at the B3LYP/6-311++G(2d,2p) level was then analyzed by Seminario's method to derive the desired force constants. These parameters were validated extensively in structural optimizations and molecular dynamics simulations of four selected model systems as well as one protein-ligand complex formed by carbonic anhydrase II. The best performance was achieved by a bonded model in combination with the atomic partial charges derived by the restrained electrostatic potential method. After some minor optimizations, this model was also able to reproduce the vibrational frequencies computed by quantum mechanics. This study provides a comprehensive set of force field parameters applicable to a variety of zinc-containing molecular systems. In principle, our approach can be applied to other molecular systems with missing force field parameters.

Entities:  

Year:  2010        PMID: 26615845     DOI: 10.1021/ct900454q

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  22 in total

1.  Simulations of allosteric motions in the zinc sensor CzrA.

Authors:  Dhruva K Chakravorty; Bing Wang; Chul Won Lee; David P Giedroc; Kenneth M Merz
Journal:  J Am Chem Soc       Date:  2011-11-14       Impact factor: 15.419

Review 2.  Metal Ion Modeling Using Classical Mechanics.

Authors:  Pengfei Li; Kenneth M Merz
Journal:  Chem Rev       Date:  2017-01-03       Impact factor: 60.622

3.  Combining conformational sampling and selection to identify the binding mode of zinc-bound amyloid peptides with bifunctional molecules.

Authors:  Liang Xu; Ke Gao; Chunyu Bao; Xicheng Wang
Journal:  J Comput Aided Mol Des       Date:  2012-07-25       Impact factor: 3.686

4.  Molecular dynamics simulation of mammalian 15S-lipoxygenase with AMBER force field.

Authors:  Syed Tarique Moin; Thomas S Hofer; Rabia Sattar; Zaheer Ul-Haq
Journal:  Eur Biophys J       Date:  2011-03-01       Impact factor: 1.733

5.  Computational design of a full-length model of HIV-1 integrase: modeling of new inhibitors and comparison of their calculated binding energies with those previously studied.

Authors:  Selami Ercan; Necmettin Pirinccioglu
Journal:  J Mol Model       Date:  2013-08-02       Impact factor: 1.810

6.  A Transferable Non-bonded Pairwise Force Field to Model Zinc Interactions in Metalloproteins.

Authors:  Ruibo Wu; Zhenyu Lu; Zexing Cao; Yingkai Zhang
Journal:  J Chem Theory Comput       Date:  2011-02-08       Impact factor: 6.006

7.  Structural Survey of Zinc Containing Proteins and the Development of the Zinc AMBER Force Field (ZAFF).

Authors:  Martin B Peters; Yue Yang; Bing Wang; László Füsti-Molnár; Michael N Weaver; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2010-09-14       Impact factor: 6.006

8.  Solution NMR refinement of a metal ion bound protein using metal ion inclusive restrained molecular dynamics methods.

Authors:  Dhruva K Chakravorty; Bing Wang; Chul Won Lee; Alfredo J Guerra; David P Giedroc; Kenneth M Merz
Journal:  J Biomol NMR       Date:  2013-04-23       Impact factor: 2.835

9.  Thiol versus hydroxamate as zinc binding group in HDAC inhibition: An ab initio QM/MM molecular dynamics study.

Authors:  Wenjing Gong; Ruibo Wu; Yingkai Zhang
Journal:  J Comput Chem       Date:  2015-10-09       Impact factor: 3.376

10.  Activity prediction of substrates in NADH-dependent carbonyl reductase by docking requires catalytic constraints and charge parameterization of catalytic zinc environment.

Authors:  Gaurao V Dhoke; Christoph Loderer; Mehdi D Davari; Marion Ansorge-Schumacher; Ulrich Schwaneberg; Marco Bocola
Journal:  J Comput Aided Mol Des       Date:  2015-11-03       Impact factor: 3.686

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