Literature DB >> 15224394

CHARMM fluctuating charge force field for proteins: II protein/solvent properties from molecular dynamics simulations using a nonadditive electrostatic model.

Sandeep Patel1, Alexander D Mackerell, Charles L Brooks.   

Abstract

A fluctuating charge (FQ) force field is applied to molecular dynamics simulations for six small proteins in explicit polarizable solvent represented by the TIP4P-FQ potential. The proteins include 1FSV, 1ENH, 1PGB, 1VII, 1H8K, and 1CRN, representing both helical and beta-sheet secondary structural elements. Constant pressure and temperature (NPT) molecular dynamics simulations are performed on time scales of several nanoseconds, the longest simulations yet reported using explicitly polarizable all-atom empirical potentials (for both solvent and protein) in the condensed phase. In terms of structure, the FQ force field allows deviations from native structure up to 2.5 A (with a range of 1.0 to 2.5 A). This is commensurate to the performance of the CHARMM22 nonpolarizable model and other currently existing polarizable models. Importantly, secondary structural elements maintain native structure in general to within 1 A (both helix and beta-strands), again in good agreement with the nonpolarizable case. In qualitative agreement with QM/MM ab initio dynamics on crambin (Liu et al. Proteins 2001, 44, 484), there is a sequence dependence of average condensed phase atomic charge for all proteins, a dependence one would anticipate considering the differing chemical environments around individual atoms; this is a subtle quantum mechanical feature captured in the FQ model but absent in current state-of-the-art nonpolarizable models. Furthermore, there is a mutual polarization of solvent and protein in the condensed phase. Solvent dipole moment distributions within the first and second solvation shells around the protein display a shift towards higher dipole moments (increases on the order of 0.2-0.3 Debye) relative to the bulk; protein polarization is manifested via the enhanced condensed phase charges of typical polar atoms such as backbone carbonyl oxygens, amide nitrogens, and amide hydrogens. Finally, to enlarge the sample set of proteins, gas-phase minimizations and 1 ps constant temperature simulations are performed on various-sized proteins to compare to earlier work by Kaminsky et al. (J Comp Chem 2002, 23, 1515). The present work establishes the feasibility of applying a fully polarizable force field for protein simulations and demonstrates the approach employed in extending the CHARMM force field to include these effects. Copyright 2004 Wiley Periodicals, Inc. J Comput Chem 25: 1504-1514, 2004

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15224394     DOI: 10.1002/jcc.20077

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  124 in total

1.  Polarizable force field for RNA based on the classical drude oscillator.

Authors:  Justin A Lemkul; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2018-12-15       Impact factor: 3.376

2.  Hierarchical Order Parameters for Macromolecular Assembly Simulations I: Construction and Dynamical Properties of Order Parameters.

Authors:  Abhishek Singharoy; Yuriy Sereda; Peter J Ortoleva
Journal:  J Chem Theory Comput       Date:  2012-03-13       Impact factor: 6.006

3.  Electronic continuum model for molecular dynamics simulations of biological molecules.

Authors:  I V Leontyev; A A Stuchebrukhov
Journal:  J Chem Theory Comput       Date:  2010       Impact factor: 6.006

4.  Role of electrostatics in modulating hydrophobic interactions and barriers to hydrophobic assembly.

Authors:  Brad A Bauer; Sandeep Patel
Journal:  J Phys Chem B       Date:  2010-06-24       Impact factor: 2.991

5.  An Estimation of Hybrid Quantum Mechanical Molecular Mechanical Polarization Energies for Small Molecules Using Polarizable Force-Field Approaches.

Authors:  Jing Huang; Ye Mei; Gerhard König; Andrew C Simmonett; Frank C Pickard; Qin Wu; Lee-Ping Wang; Alexander D MacKerell; Bernard R Brooks; Yihan Shao
Journal:  J Chem Theory Comput       Date:  2017-01-24       Impact factor: 6.006

6.  Calculation of absolute protein-ligand binding affinity using path and endpoint approaches.

Authors:  Michael S Lee; Mark A Olson
Journal:  Biophys J       Date:  2005-11-11       Impact factor: 4.033

7.  Potential energy functions for atomic-level simulations of water and organic and biomolecular systems.

Authors:  William L Jorgensen; Julian Tirado-Rives
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-03       Impact factor: 11.205

8.  Further Optimization and Validation of the Classical Drude Polarizable Protein Force Field.

Authors:  Fang-Yu Lin; Jing Huang; Poonam Pandey; Chetan Rupakheti; Jing Li; Benoı T Roux; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2020-04-27       Impact factor: 6.006

9.  Molecular dynamics simulations using the drude polarizable force field on GPUs with OpenMM: Implementation, validation, and benchmarks.

Authors:  Jing Huang; Justin A Lemkul; Peter K Eastman; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2018-05-04       Impact factor: 3.376

10.  Development of a polarizable intermolecular potential function (PIPF) for liquid amides and alkanes.

Authors:  Wangshen Xie; Jingzhi Pu; Alexander D Mackerell; Jiali Gao
Journal:  J Chem Theory Comput       Date:  2007       Impact factor: 6.006

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.