Polarizable and non-polarizable force fields: Protein folding, unfolding, and misfolding

被引:34
作者
Kamenik, Anna S. [1 ]
Handle, Philip H. [1 ]
Hofer, Florian [1 ]
Kahler, Ursula [1 ]
Kraml, Johannes [1 ]
Liedl, Klaus R. [1 ]
机构
[1] Univ Innsbruck, Inst Gen Inorgan & Theoret Chem, Innrain 80-82, A-6020 Innsbruck, Austria
基金
奥地利科学基金会;
关键词
MOLECULAR-DYNAMICS SIMULATIONS; VILLIN HEADPIECE SUBDOMAIN; COOPERATIVE HELIX FORMATION; MARKOV STATE MODELS; PARTICLE MESH EWALD; DISORDERED PROTEINS; WW DOMAIN; STRUCTURAL ENSEMBLES; BETA-LACTOGLOBULIN; ENERGY LANDSCAPE;
D O I
10.1063/5.0022135
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Molecular dynamics simulations are an invaluable tool to characterize the dynamic motions of proteins in atomistic detail. However, the accuracy of models derived from simulations inevitably relies on the quality of the underlying force field. Here, we present an evaluation of current non-polarizable and polarizable force fields (AMBER ff14SB, CHARMM 36m, GROMOS 54A7, and Drude 2013) based on the long-standing biophysical challenge of protein folding. We quantify the thermodynamics and kinetics of the beta-hairpin formation using Markov state models of the fast-folding mini-protein CLN025. Furthermore, we study the (partial) folding dynamics of two more complex systems, a villin headpiece variant and a WW domain. Surprisingly, the polarizable force field in our set, Drude 2013, consistently leads to destabilization of the native state, regardless of the secondary structure element present. All non-polarizable force fields, on the other hand, stably characterize the native state ensembles in most cases even when starting from a partially unfolded conformation. Focusing on CLN025, we find that the conformational space captured with AMBER ff14SB and CHARMM 36m is comparable, but the ensembles from CHARMM 36m simulations are clearly shifted toward disordered conformations. While the AMBER ff14SB ensemble overstabilizes the native fold, CHARMM 36m and GROMOS 54A7 ensembles both agree remarkably well with experimental state populations. In addition, GROMOS 54A7 also reproduces experimental folding times most accurately. Our results further indicate an over-stabilization of helical structures with AMBER ff14SB. Nevertheless, the presented investigations strongly imply that reliable (un)folding dynamics of small proteins can be captured in feasible computational time with current additive force fields. (c) 2020 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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页数:18
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