Version 4 2023-08-16, 10:37Version 4 2023-08-16, 10:37
Version 3 2023-07-10, 14:29Version 3 2023-07-10, 14:29
Version 2 2023-05-24, 07:35Version 2 2023-05-24, 07:35
Version 1 2023-05-17, 08:38Version 1 2023-05-17, 08:38
dataset
posted on 2023-08-16, 10:37authored byTong WangTong Wang, Xinheng He, Mingyu Li, Bin Shao, Tie-Yan Liu
AIMD-Chig is an MD dataset including 2 million conformations of 166-atom protein Chignolin sampled at the density functional theory (DFT) level with 7,763,146 CPU hours. 10,000 conformations were initialized covering the whole conformational space of Chignolin, including folded, unfolded, and metastable states. Ab initio simulations were driven by M062X/6-31G* with a Berendsen thermostat at 340K. We reported coordinates, energies, and forces for each conformation.