Introduction to Molecular Dynamics and Enhanced Sampling Algorithms

2014 ◽  
pp. 24-53
Keyword(s):  
Molecular Dynamics ◽  
Enhanced Sampling ◽  
Sampling Algorithms

scholarly journals GENESIS 1.1: A hybrid-parallel molecular dynamics simulator with enhanced sampling algorithms on multiple computational platforms

2017 ◽  
Vol 38 (25) ◽  
pp. 2193-2206 ◽  
Author(s):  
Chigusa Kobayashi ◽  
Jaewoon Jung ◽  
Yasuhiro Matsunaga ◽  
Takaharu Mori ◽  
Tadashi Ando ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Enhanced Sampling ◽  
Sampling Algorithms ◽  
Parallel Molecular Dynamics

Toward an Enhanced Sampling Molecular Dynamics Method for Studying Ligand-Induced Conformational Changes in Proteins

2015 ◽  
Vol 119 (46) ◽  
pp. 14594-14603 ◽  
Author(s):  
Ole Juul Andersen ◽  
Julie Grouleff ◽  
Perri Needham ◽  
Ross C. Walker ◽  
Frank Jensen
Keyword(s):  
Molecular Dynamics ◽  
Conformational Changes ◽  
Molecular Dynamics Method ◽  
Enhanced Sampling ◽  
Dynamics Method

SPONGE : A GPU‐Accelerated Molecular Dynamics Package with Enhanced Sampling and AI‐Driven Algorithms

2021 ◽  
Author(s):  
Yu‐Peng Huang ◽  
Yijie Xia ◽  
Lijiang Yang ◽  
Jiachen Wei ◽  
Yi Isaac Yang ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Enhanced Sampling ◽  
Accelerated Molecular Dynamics

scholarly journals An Efficient GaMD Multi-Level Enhanced Sampling Strategy: Application to Polarizable Force Fields Simulations of Large Biological Systems

2021 ◽  
Author(s):  
Fréderic Célerse ◽  
Theo Jaffrelot-Inizan ◽  
Louis Lagardère ◽  
Olivier Adjoua ◽  
Pierre Monmarché ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Adaptive Sampling ◽  
Sampling Strategy ◽  
Umbrella Sampling ◽  
Potential Of Mean Force ◽  
Enhanced Sampling ◽  
Polarizable Force Field ◽  
Accelerated Molecular Dynamics ◽  
Polarizable Force Fields ◽  
Multi Level

We detail a novel multi-level enhanced sampling strategy grounded on Gaussian accelerated Molecular Dynamics (GaMD). First, we propose a GaMD multi-GPUs-accelerated implementation within the Tinker-HP molecular dynamics package. We then introduce the new "dual-water" mode and its use with the flexible AMOEBA polarizable force field. By adding harmonic boosts to the water stretching and bonding terms, it accelerates the solvent-solute interactions while enabling speedups thanks to the use of fast multiple--timestep integrators. To further reduce time-to-solution, we couple GaMD to Umbrella Sampling (US). The GaMD—US/dual-water approach is tested on the 1D Potential of Mean Force (PMF) of the CD2-CD58 system (168000 atoms) allowing the AMOEBA PMF to converge within 1 kcal/mol of the experimental value. Finally, Adaptive Sampling (AS) is added enabling AS-GaMD capabilities but also the introduction of the new Adaptive Sampling--US--GaMD (ASUS--GaMD) scheme. The highly parallel ASUS--GaMD setup decreases time to convergence by respectively 10 and 20 compared to GaMD--US and US.

scholarly journals Identification of rare Lewis oligosaccharide conformers in aqueous solution using enhanced sampling molecular dynamics

2017 ◽  
Author(s):  
Irfan Alibay ◽  
Kepa K. Burusco ◽  
Neil J. Bruce ◽  
Richard A. Bryce
Keyword(s):  
Molecular Dynamics ◽  
Aqueous Solution ◽  
Md Simulations ◽  
Umbrella Sampling ◽  
Biological Action ◽  
Sialyl Lewis X ◽  
Enhanced Sampling ◽  
Sialyl Lewis ◽  
Aqueous Solvent ◽  
A Minor

<p>Determining the conformations accessible to carbohydrate ligands in aqueous solution is important for understanding their biological action. In this work, we evaluate the conformational free energy surfaces of Lewis oligosaccharides in explicit aqueous solvent using a multidimensional variant of the swarm-enhanced sampling molecular dynamics (msesMD) method; we compare with multi-microsecond unbiased MD simulations, umbrella sampling and accelerated MD approaches. For the sialyl Lewis A tetrasaccharide, msesMD simulations in aqueous solution predict conformer landscapes in general agreement with the other biased methods and with triplicate unbiased 10 ms trajectories; these simulations find a predominance of closed conformer and a range of low occupancy open forms. The msesMD simulations also suggest closed-to-open transitions in the tetrasaccharide are facilitated by changes in ring puckering of its GlcNAc residue away from the <sup>4</sup>C<sub>1</sub> form, in line with previous work. For sialyl Lewis X tetrasaccharide, msesMD simulations predict a minor population of an open form in solution, corresponding to a rare lectin-bound pose observed crystallographically. Overall, from comparison with biased MD calculations, we find that triplicate 10 ms unbiased MD simulations may not be enough to fully sample glycan conformations in aqueous solution. However, the computational efficiency and intuitive approach of the msesMD method suggest potential for its application in glycomics as a tool for analysis of oligosaccharide conformation.</p>

Temperature Accelerated Molecular Dynamics with Soft-Ratcheting Criterion Orients Enhanced Sampling by Low-Resolution Information

2015 ◽  
Vol 11 (7) ◽  
pp. 3446-3454 ◽  
Author(s):  
Isidro Cortes-Ciriano ◽  
Guillaume Bouvier ◽  
Michael Nilges ◽  
Luca Maragliano ◽  
Thérèse E. Malliavin
Keyword(s):  
Molecular Dynamics ◽  
Enhanced Sampling ◽  
Low Resolution ◽  
Accelerated Molecular Dynamics
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