能量最小化
缩小
蛋白质结构预测
蛋白质设计
构象异构
侧链
链条(单位)
蛋白质结构
化学
航程(航空)
螺旋线圈
序列(生物学)
系列(地层学)
生物系统
计算化学
分子
计算机科学
物理
材料科学
生物
天文
古生物学
复合材料
有机化学
程序设计语言
生物化学
聚合物
作者
Amy E. Keating,V.N. Malashkevich,Bruce Tidor,Peter S. Kim
标识
DOI:10.1073/pnas.261563398
摘要
An important goal in biology is to predict from sequence data the high-resolution structures of proteins and the interactions that occur between them. In this paper, we describe a computational approach that can make these types of predictions for a series of coiled-coil dimers. Our method comprises a dual strategy that augments extensive conformational sampling with molecular mechanics minimization. To test the performance of the method, we designed six heterodimeric coiled coils with a range of stabilities and solved x-ray crystal structures for three of them. The stabilities and structures predicted by the calculations agree very well with experimental data: the average error in unfolding free energies is <1 kcal/mol, and nonhydrogen atoms in the predicted structures superimpose onto the experimental structures with rms deviations <0.7 A. We have also tested the method on a series of homodimers derived from vitellogenin-binding protein. The predicted relative stabilities of the homodimers show excellent agreement with previously published experimental measurements. A critical step in our procedure is to use energy minimization to relax side-chain geometries initially selected from a rotamer library. Our results show that computational methods can predict interaction specificities that are in good agreement with experimental data.
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