Supervised machine learning approach to molecular dynamics forecast of SARS-CoV-2 spike glycoproteins at varying temperatures

被引:0
作者
David Liang
Meichen Song
Ziyuan Niu
Peng Zhang
Miriam Rafailovich
Yuefan Deng
机构
[1] Ward Melville High School,
[2] Stony Brook University,undefined
来源
MRS Advances | 2021年 / 6卷
关键词
Machine learning; Molecular; Simulation; Computation;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:362 / 367
页数:5
相关论文
共 30 条
  • [1] Tan J(2005)pH-dependent conformational flexibility of the SARS-CoV main proteinase (M(pro)) dimer: molecular dynamics simulations and multiple X-ray structure analyses J. Mol. Biol. 354 25-40
  • [2] Verschueren KH(2020)Factors affecting stability and infectivity of SARS-CoV-2 J. Hosp. Infect. 106 226-231
  • [3] Anand K(2020)Stability of SARS-CoV-2 and other coronaviruses in the environment and on common touch surfaces and the influence of climatic conditions: a review Transbound. Emerg. Dis. 7 583523-undefined
  • [4] Shen J(2020)Investigation of the effect of temperature on the structure of SARS-CoV-2 spike protein by molecular dynamics simulations Front. Mol. Biosci. undefined undefined-undefined
  • [5] Yang M(undefined)undefined undefined undefined undefined-undefined
  • [6] Xu Y(undefined)undefined undefined undefined undefined-undefined
  • [7] Rao Z(undefined)undefined undefined undefined undefined-undefined
  • [8] Bigalke J(undefined)undefined undefined undefined undefined-undefined
  • [9] Heisen B(undefined)undefined undefined undefined undefined-undefined
  • [10] Mesters JR(undefined)undefined undefined undefined undefined-undefined