pmx: Automated Protein Structure and Topology Generation for Alchemical Perturbations

被引:195
作者
Gapsys, Vytautas [1 ]
Michielssens, Servaas [1 ]
Seeliger, Daniel [2 ]
de Groot, Bert L. [1 ]
机构
[1] Max Planck Inst Biophys Chem, Computat Biomol Dynam Grp, D-37077 Gottingen, Germany
[2] Boehringer Ingelheim Pharma GmbH & Co KG, Lead Identificat & Optimizat Support, D-88397 Biberach, Germany
关键词
free energy calculations; molecular dynamics; alchemy; thermostability; mutations; FREE-ENERGY DIFFERENCES; FORCE-FIELD; STABILITY CHANGES; SIMULATIONS; ENERGETICS; MUTATIONS; COMPLEXES; MECHANICS; DESIGN; DNA;
D O I
10.1002/jcc.23804
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Computational protein design requires methods to accurately estimate free energy changes in protein stability or binding upon an amino acid mutation. From the different approaches available, molecular dynamics-based alchemical free energy calculations are unique in their accuracy and solid theoretical basis. The challenge in using these methods lies in the need to generate hybrid structures and topologies representing two physical states of a system. A custom made hybrid topology may prove useful for a particular mutation of interest, however, a high throughput mutation analysis calls for a more general approach. In this work, we present an automated procedure to generate hybrid structures and topologies for the amino acid mutations in all commonly used force fields. The described software is compatible with the Gromacs simulation package. The mutation libraries are readily supported for five force fields, namely Amber99SB, Amber99SB*-ILDN, OPLS-AA/L, Charmm22*, and Charmm36. (c) 2014 The Authors Journal of Computational Chemistry Published by Wiley Periodicals, Inc.
引用
收藏
页码:348 / 354
页数:7
相关论文
共 35 条
  • [1] Predicting free energy changes using structural ensembles
    Benedix, Alexander
    Becker, Caroline M.
    de Groot, Bert L.
    Caflisch, Amedeo
    Boeckmann, Rainer A.
    [J]. NATURE METHODS, 2009, 6 (01) : 3 - 4
  • [2] Optimization of the Additive CHARMM All-Atom Protein Force Field Targeting Improved Sampling of the Backbone φ, ψ and Side-Chain χ1 and χ2 Dihedral Angles
    Best, Robert B.
    Zhu, Xiao
    Shim, Jihyun
    Lopes, Pedro E. M.
    Mittal, Jeetain
    Feig, Michael
    MacKerell, Alexander D., Jr.
    [J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2012, 8 (09) : 3257 - 3273
  • [3] Optimized Molecular Dynamics Force Fields Applied to the Helix-Coil Transition of Polypeptides
    Best, Robert B.
    Hummer, Gerhard
    [J]. JOURNAL OF PHYSICAL CHEMISTRY B, 2009, 113 (26) : 9004 - 9015
  • [4] Canonical sampling through velocity rescaling
    Bussi, Giovanni
    Donadio, Davide
    Parrinello, Michele
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2007, 126 (01)
  • [5] I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure
    Capriotti, E
    Fariselli, P
    Casadio, R
    [J]. NUCLEIC ACIDS RESEARCH, 2005, 33 : W306 - W310
  • [6] A three-state prediction of single point mutations on protein stability changes
    Capriotti, Emidio
    Fariselli, Piero
    Rossi, Ivan
    Casadio, Rita
    [J]. BMC BIOINFORMATICS, 2008, 9
  • [7] Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences
    Crooks, GE
    [J]. PHYSICAL REVIEW E, 1999, 60 (03): : 2721 - 2726
  • [8] Nonequilibrium measurements of free energy differences for microscopically reversible Markovian systems
    Crooks, GE
    [J]. JOURNAL OF STATISTICAL PHYSICS, 1998, 90 (5-6) : 1481 - 1487
  • [9] Macromolecular modeling with Rosetta
    Das, Rhiju
    Baker, David
    [J]. ANNUAL REVIEW OF BIOCHEMISTRY, 2008, 77 : 363 - 382
  • [10] desGroot B. L., 1997, PROTEIN-STRUCT FUNCT, V29, P240