Conformational Free-Energy Landscapes of Alanine Dipeptide in Hydrated Ionic Liquids from Enhanced Sampling Methods

2020 ◽  
Vol 124 (31) ◽  
pp. 6728-6737
Author(s):  
Sathish Dasari ◽  
Bhabani S. Mallik
2016 ◽  
Vol 113 (5) ◽  
pp. 1150-1155 ◽  
Author(s):  
Patrick Shaffer ◽  
Omar Valsson ◽  
Michele Parrinello

The capabilities of molecular simulations have been greatly extended by a number of widely used enhanced sampling methods that facilitate escaping from metastable states and crossing large barriers. Despite these developments there are still many problems which remain out of reach for these methods which has led to a vigorous effort in this area. One of the most important problems that remains unsolved is sampling high-dimensional free-energy landscapes and systems that are not easily described by a small number of collective variables. In this work we demonstrate a new way to compute free-energy landscapes of high dimensionality based on the previously introduced variationally enhanced sampling, and we apply it to the miniprotein chignolin.


2016 ◽  
Vol 12 (12) ◽  
pp. 5751-5757 ◽  
Author(s):  
Patrick Shaffer ◽  
Omar Valsson ◽  
Michele Parrinello

2012 ◽  
Vol 103 (12) ◽  
pp. 2513-2520 ◽  
Author(s):  
Timothy J. Gaborek ◽  
Christophe Chipot ◽  
Jeffry D. Madura

2015 ◽  
Vol 6 (2) ◽  
pp. 1167-1177 ◽  
Author(s):  
Javier Iglesias-Fernández ◽  
Lluís Raich ◽  
Albert Ardèvol ◽  
Carme Rovira

Ab initio conformational free energy landscapes, together with molecular dynamics simulations, enable to predict the catalytic itineraries of β-xylanase enzymes.


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