Comparing the Ability of Enhanced Sampling Molecular Dynamics Methods To Reproduce the Behavior of Fluorescent Labels on Proteins

2015 ◽  
Vol 11 (7) ◽  
pp. 3455-3465 ◽  
Author(s):  
Katarzyna Walczewska-Szewc ◽  
Evelyne Deplazes ◽  
Ben Corry
Author(s):  
Gerard Martínez-Rosell ◽  
Toni Giorgino ◽  
Matt J. Harvey ◽  
Gianni de Fabritiis

Langmuir ◽  
2021 ◽  
Author(s):  
Luis Paulo M. Freitas ◽  
Anderson A. Espírito Santo ◽  
Tuanan C. Lourenço ◽  
Juarez L. F. Da Silva ◽  
Gustavo Troiano Feliciano

2015 ◽  
Vol 119 (46) ◽  
pp. 14594-14603 ◽  
Author(s):  
Ole Juul Andersen ◽  
Julie Grouleff ◽  
Perri Needham ◽  
Ross C. Walker ◽  
Frank Jensen

CrystEngComm ◽  
2022 ◽  
Author(s):  
ruibo ma ◽  
Lili Zhou ◽  
Yong-Chao Liang ◽  
Ze-an Tian ◽  
Yun-Fei Mo ◽  
...  

To investigate microstructural evolution and plastic deformation under tension conditions, the rapid solidification processes of Ni47Co53 alloy are first simulated by molecular dynamics methods at cooling rates of 1011, 1012...


Author(s):  
Yu‐Peng Huang ◽  
Yijie Xia ◽  
Lijiang Yang ◽  
Jiachen Wei ◽  
Yi Isaac Yang ◽  
...  

2021 ◽  
Author(s):  
Fréderic Célerse ◽  
Theo Jaffrelot-Inizan ◽  
Louis Lagardère ◽  
Olivier Adjoua ◽  
Pierre Monmarché ◽  
...  

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.


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