Boas F Edward, Harbury Pehr B
Department of Biochemistry, Stanford University School of Medicine, Beckman B437, Stanford, CA 94305-5307, USA.
Curr Opin Struct Biol. 2007 Apr;17(2):199-204. doi: 10.1016/j.sbi.2007.03.006. Epub 2007 Mar 26.
Different potential energy functions have predominated in protein dynamics simulations, protein design calculations, and protein structure prediction. Clearly, the same physics applies in all three cases. The differences in potential energy functions reflect differences in how the calculations are performed. With improvements in computer power and algorithms, the same potential energy function should be applicable to all three problems. In this review, we examine energy functions currently used for protein design, and look to the molecular mechanics field for advances that could be used in the next generation of design algorithms. In particular, we focus on improved models of the hydrophobic effect, polarization and hydrogen bonding.
在蛋白质动力学模拟、蛋白质设计计算和蛋白质结构预测中,不同的势能函数占据主导地位。显然,相同的物理学原理适用于所有这三种情况。势能函数的差异反映了计算方式的不同。随着计算机能力和算法的改进,相同的势能函数应该适用于所有这三个问题。在本综述中,我们研究了目前用于蛋白质设计的能量函数,并期待分子力学领域取得可用于下一代设计算法的进展。特别是,我们专注于疏水效应、极化和氢键的改进模型。