scholarly journals How well do force fields capture the strength of salt bridges in proteins?

2018 ◽  
Author(s):  
Mustapha Carab Ahmed ◽  
Elena Papaleo ◽  
Kresten Lindorff-Larsen

AbstractSalt bridges form between pairs of ionisable residues in close proximity and are important interactions in proteins. While salt bridges are known to be important both for protein stability, recognition and regulation, we still do not have fully accurate predictive models to assess the energetic contributions of salt bridges. Molecular dynamics simulations is one technique that may be used study the complex relationship between structure, solvation and energetics of salt bridges, but the accuracy of such simulations depend on the force field used. We have used NMR data on the B1 domain of protein G (GB1) to benchmark molecular dynamics simulations. Using enhanced sampling simulations, we calculated the free energy of forming a salt bridge for three possible ionic interactions in GB1. The NMR experiments showed that these interactions are either not formed, or only very weakly formed, in solution. In contrast, we show that the stability of the salt bridges is slightly overestimated in simulations of GB1 using six commonly used combinations of force fields and water models. We therefore conclude that further work is needed to refine our ability to model quantitatively the stability of salt bridges through simulations, and that comparisons between experiments and simulations will play a crucial role in furthering our understanding of this important interaction.

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4967 ◽  
Author(s):  
Mustapha Carab Ahmed ◽  
Elena Papaleo ◽  
Kresten Lindorff-Larsen

Salt bridges form between pairs of ionisable residues in close proximity and are important interactions in proteins. While salt bridges are known to be important both for protein stability, recognition and regulation, we still do not have fully accurate predictive models to assess the energetic contributions of salt bridges. Molecular dynamics simulation is one technique that may be used study the complex relationship between structure, solvation and energetics of salt bridges, but the accuracy of such simulations depends on the force field used. We have used NMR data on the B1 domain of protein G (GB1) to benchmark molecular dynamics simulations. Using enhanced sampling simulations, we calculated the free energy of forming a salt bridge for three possible lysine-carboxylate ionic interactions in GB1. The NMR experiments showed that these interactions are either not formed, or only very weakly formed, in solution. In contrast, we show that the stability of the salt bridges is overestimated, to different extents, in simulations of GB1 using seven out of eight commonly used combinations of fixed charge force fields and water models. We also find that the Amber ff15ipq force field gives rise to weaker salt bridges in good agreement with the NMR experiments. We conclude that many force fields appear to overstabilize these ionic interactions, and that further work may be needed to refine our ability to model quantitatively the stability of salt bridges through simulations. We also suggest that comparisons between NMR experiments and simulations will play a crucial role in furthering our understanding of this important interaction.


2017 ◽  
Vol 4 (10) ◽  
pp. 1679-1690 ◽  
Author(s):  
Hamed Akbarzadeh ◽  
Esmat Mehrjouei ◽  
Amir Nasser Shamkhali ◽  
Mohsen Abbaspour ◽  
Sirous Salemi ◽  
...  

Molecular dynamics simulations were used to investigate the structural evolution and thermal behavior of Ni–Pd hollow nanoparticles.


2021 ◽  
Author(s):  
Thilo Mast ◽  
Dmitry Lupyan

This tutorial partially copies steps from How to Assign CHARMM Parameters to Desmond-generated System with viparr4 but differs in the parametrization steps. You can use the Schrödinger software suite to prepare systems for molecular dynamics simulations, however, only the OPLS _2005 and OPLS4 force fields can be automatically assigned. This tutorial will show you how to use Desmond with third-party force fields like AMBER, using the Viparr utility from D.E. Shaw Research. You will prepare a protein-ligand complex, generate custom AMBER parameters for the ligand, and use the Viparr utility to convert the generated AMBER parameters into a viparr-formatted template, that can be used for simulations. You can find the input files for this tutorial here:


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