Literature DB >> 36117287

CHARMM-GUI Implicit Solvent Modeler for Various Generalized Born Models in Different Simulation Programs.

Kye Won Wang1, Jumin Lee1, Han Zhang1, Donghyuk Suh1, Wonpil Im1.   

Abstract

Implicit solvent models are widely used because they are advantageous to speed up simulations by drastically decreasing the number of solvent degrees of freedom, which allows one to achieve long simulation time scales for large system sizes. CHARMM-GUI, a web-based platform, has been developed to support the setup of complex multicomponent molecular systems and prepare input files. This study describes an Implicit Solvent Modeler (ISM) in CHARMM-GUI for various generalized Born (GB) implicit solvent simulations in different molecular dynamics programs such as AMBER, CHARMM, GENESIS, NAMD, OpenMM, and Tinker. The GB models available in ISM include GB-HCT, GB-OBC, GB-neck, GBMV, and GBSW with the CHARMM and Amber force fields for protein, DNA, RNA, glycan, and ligand systems. Using the system and input files generated by ISM, implicit solvent simulations of protein, DNA, and RNA systems produce similar results for different simulation packages with the same input information. Protein-ligand systems are also considered to further validate the systems and input files generated by ISM. Simple ligand root-mean-square deviation (RMSD) and molecular mechanics generalized Born surface area (MM/GBSA) calculations show that the performance of implicit simulations is better than docking and can be used for early stage ligand screening. These reasonable results indicate that ISM is a useful and reliable tool to provide various implicit solvent simulation applications.

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Year:  2022        PMID: 36117287      PMCID: PMC9551160          DOI: 10.1021/acs.jpcb.2c05294

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   3.466


  76 in total

1.  Molecular simulation of ab initio protein folding for a millisecond folder NTL9(1-39).

Authors:  Vincent A Voelz; Gregory R Bowman; Kyle Beauchamp; Vijay S Pande
Journal:  J Am Chem Soc       Date:  2010-02-10       Impact factor: 15.419

2.  ff19SB: Amino-Acid-Specific Protein Backbone Parameters Trained against Quantum Mechanics Energy Surfaces in Solution.

Authors:  Chuan Tian; Koushik Kasavajhala; Kellon A A Belfon; Lauren Raguette; He Huang; Angela N Migues; John Bickel; Yuzhang Wang; Jorge Pincay; Qin Wu; Carlos Simmerling
Journal:  J Chem Theory Comput       Date:  2019-12-03       Impact factor: 6.006

3.  CHARMM-GUI Membrane Builder for Complex Biological Membrane Simulations with Glycolipids and Lipoglycans.

Authors:  Jumin Lee; Dhilon S Patel; Jonas Ståhle; Sang-Jun Park; Nathan R Kern; Seonghoon Kim; Joonseong Lee; Xi Cheng; Miguel A Valvano; Otto Holst; Yuriy A Knirel; Yifei Qi; Sunhwan Jo; Jeffery B Klauda; Göran Widmalm; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2018-12-28       Impact factor: 6.006

4.  Improving Protein-Ligand Docking Results with High-Throughput Molecular Dynamics Simulations.

Authors:  Hugo Guterres; Wonpil Im
Journal:  J Chem Inf Model       Date:  2020-04-10       Impact factor: 4.956

5.  CHARMM-GUI Free Energy Calculator for Absolute and Relative Ligand Solvation and Binding Free Energy Simulations.

Authors:  Seonghoon Kim; Hiraku Oshima; Han Zhang; Nathan R Kern; Suyong Re; Jumin Lee; Benoît Roux; Yuji Sugita; Wei Jiang; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2020-10-28       Impact factor: 6.006

Review 6.  Molecular dynamics simulations of biological membranes and membrane proteins using enhanced conformational sampling algorithms.

Authors:  Takaharu Mori; Naoyuki Miyashita; Wonpil Im; Michael Feig; Yuji Sugita
Journal:  Biochim Biophys Acta       Date:  2016-01-05

7.  Exploring protein native states and large-scale conformational changes with a modified generalized born model.

Authors:  Alexey Onufriev; Donald Bashford; David A Case
Journal:  Proteins       Date:  2004-05-01

8.  Folding simulations for proteins with diverse topologies are accessible in days with a physics-based force field and implicit solvent.

Authors:  Hai Nguyen; James Maier; He Huang; Victoria Perrone; Carlos Simmerling
Journal:  J Am Chem Soc       Date:  2014-09-25       Impact factor: 15.419

9.  Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories.

Authors:  Ernesto Suárez; Steven Lettieri; Matthew C Zwier; Carsen A Stringer; Sundar Raman Subramanian; Lillian T Chong; Daniel M Zuckerman
Journal:  J Chem Theory Comput       Date:  2014-03-03       Impact factor: 6.006

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