Protein thermostability prediction within homologous families using temperature-dependent statistical potentials.
作者: Fabrizio PucciMalik DhananiYves DehouckMarianne Rooman
刊名: PLoS ONE, 2017, Vol.9 (3)
来源数据库: Directory of Open Access Journals
DOI: 10.1371/journal.pone.0091659
原始语种摘要: The ability to rationally modify targeted physical and biological features of a protein of interest holds promise in numerous academic and industrial applications and paves the way towards de novo protein design. In particular, bioprocesses that utilize the remarkable properties of enzymes would often benefit from mutants that remain active at temperatures that are either higher or lower than the physiological temperature, while maintaining the biological activity. Many in silico methods have been developed in recent years for predicting the thermodynamic stability of mutant proteins, but very few have focused on thermostability. To bridge this gap, we developed an algorithm for predicting the best descriptor of thermostability, namely the melting temperature Tm, from the protein's...
全文获取路径: DOAJ  (合作)
影响因子:3.73 (2012)

  • homologous 同结构型的
  • proteins 蛋白质
  • temperature 温度
  • statistical 统计的
  • thermostable 耐热的
  • within 在以内
  • prediction 预报
  • rationally 理性上
  • either 任何
  • targeted 对准目标的