Faculty Opinions recommendation of Accurate Calculation of Barnase and SNase Folding Energetics using short MD simulations and an Atomistic Model of the Unfolded Ensemble. Evaluation of Force Fields and Water Models.

Author(s):  
Alex MacKerell
2021 ◽  
Author(s):  
Jacek Kozuch ◽  
Samuel Schneider ◽  
Chu Zheng ◽  
Zhe Ji ◽  
Richard T Bradshaw ◽  
...  

<div>Non-covalent interactions underlie nearly all molecular processes in the condensed phase from solvation to</div><div>catalysis. Their quantification within a physically consistent framework remains challenging. Experimental vibrational Stark effect (VSE)-based solvatochromism can be combined with molecular dynamics (MD) simulations to quantify the electrostatic forces in solute-solvent interactions for small rigid molecules and, by extension, when these solutes bind in enzyme active sites. While generalizing this approach towards more complex (bio)molecules, such as the conformationally flexible and charged penicillin G (PenG), we were surprised to observe inconsistencies in MD-based electric fields. Combining synthesis, VSE spectroscopy, and computational methods, we provide an intimate view on the origins of these discrepancies. We observe that the electrics fields are correlated to conformation-dependent effects of the flexible PenG side-chain, including both local solvation structure and solute conformational sampling in MD. Additionally, we identified that MD-based electric fields are consistently overestimated in 3-point water models in the vicinity of charged groups; this cannot be entirely ameliorated using polarizable force fields (AMOEBA) or advanced water models. This work demonstrates the value of the VSE as a direct method for experiment-guided refinements of MD force fields and establishes a general reductionist approach to calibrating vibrational probes for complex (bio)molecules.</div>


2021 ◽  
Author(s):  
Jacek Kozuch ◽  
Samuel Schneider ◽  
Chu Zheng ◽  
Zhe Ji ◽  
Richard T Bradshaw ◽  
...  

<div>Non-covalent interactions underlie nearly all molecular processes in the condensed phase from solvation to</div><div>catalysis. Their quantification within a physically consistent framework remains challenging. Experimental vibrational Stark effect (VSE)-based solvatochromism can be combined with molecular dynamics (MD) simulations to quantify the electrostatic forces in solute-solvent interactions for small rigid molecules and, by extension, when these solutes bind in enzyme active sites. While generalizing this approach towards more complex (bio)molecules, such as the conformationally flexible and charged penicillin G (PenG), we were surprised to observe inconsistencies in MD-based electric fields. Combining synthesis, VSE spectroscopy, and computational methods, we provide an intimate view on the origins of these discrepancies. We observe that the electrics fields are correlated to conformation-dependent effects of the flexible PenG side-chain, including both local solvation structure and solute conformational sampling in MD. Additionally, we identified that MD-based electric fields are consistently overestimated in 3-point water models in the vicinity of charged groups; this cannot be entirely ameliorated using polarizable force fields (AMOEBA) or advanced water models. This work demonstrates the value of the VSE as a direct method for experiment-guided refinements of MD force fields and establishes a general reductionist approach to calibrating vibrational probes for complex (bio)molecules.</div>


2021 ◽  
Author(s):  
Théo Jaffrelot Inizan ◽  
Frédéric Célerse ◽  
Olivier Adjoua ◽  
Dina El Ahdab ◽  
Luc-Henri Jolly ◽  
...  

We provide an unsupervised adaptive sampling strategy capable of producing μs-timescale molecular dynamics (MD) simulations of large biosystems using many-body polarizable force fields (PFFs).


2010 ◽  
Vol 114 (40) ◽  
pp. 12811-12824 ◽  
Author(s):  
David S. Cerutti ◽  
Peter L. Freddolino ◽  
Robert E. Duke ◽  
David A. Case

2010 ◽  
Vol 43 (1-2) ◽  
pp. 112-115
Author(s):  
P. Philipp ◽  
Y. Yue ◽  
T. Wirtz ◽  
J. Kieffer

2015 ◽  
Vol 51 (21) ◽  
pp. 4402-4405 ◽  
Author(s):  
Åge A. Skjevik ◽  
Benjamin D. Madej ◽  
Callum J. Dickson ◽  
Knut Teigen ◽  
Ross C. Walker ◽  
...  

In this work we report the first example of spontaneous lipid bilayer formation in unbiased all-atom molecular dynamics (MD) simulations.


2021 ◽  
Author(s):  
Zheng Cheng ◽  
Jiahui Du ◽  
Lei Zhang ◽  
Jing Ma ◽  
Wei Li ◽  
...  

<p>Molecular dynamic (MD) simulation plays an essential role in understanding protein functions at atomic level. At present, MD simulations on proteins are mainly based on classical force fields. However, the accuracy of classical force fields for proteins is still insufficient for accurate descriptions of their structures and dynamical properties. Here we present a novel protocol to construct machine learning force field (MLFF) for a given protein with full quantum mechanics (QM) accuracy. In this protocol, the energy of the target system is obtained by fitting energies of its various subsystems constructed with the generalized energy-based fragmentation (GEBF) approach. To facilitate the construction of MLFF for various proteins, a protein’s data library is created to store all data of subsystems generated from trained proteins. With this protein’s data library, for a new protein only its subsystems with new topological types are required for the construction of the corresponding MLFF. This protocol is illustrated with two polypeptides, 4ZNN and 1XQ8 segment, as examples. The energies and forces predicted from this MLFF are in good agreement with those from density functional theory calculations, and dihedral angle distributions from GEBF-MLFF MD simulations can also well reproduce those from <i>ab initio</i> MD simulations. Therefore, this GEBF-ML protocol is expected to be an efficient and systematic way to build force fields for proteins and other biological systems with QM accuracy.<b></b></p>


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