Bahar I, Kaplan M, Jernigan R L
Molecular Structure Section, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892-5677, USA.
Proteins. 1997 Nov;29(3):292-308. doi: 10.1002/(sici)1097-0134(199711)29:3<292::aid-prot4>3.0.co;2-d.
A statistical analysis of known structures is made for an assessment of the utility of short-range energy considerations. For each type of amino acid, the potentials governing (1) the torsions and bond angle changes of virtual C alpha-C alpha bonds and (2) the coupling between torsion and bond angle changes are derived. These contribute approximately -2 RT per residue to the stability of native proteins, approximately half of which is due to coupling effects. The torsional potentials for the alpha-helical states of different residues are verified to be strongly correlated with the free-energy change measurements made upon single-site mutations at solvent-exposed regions. Likewise, a satisfactory correlation is shown between the beta-sheet potentials of different amino acids and the scales from free-energy measurements, despite the role of tertiary context in stabilizing beta-sheets. Furthermore, there is excellent agreement between our residue-specific potentials for alpha-helical state and other thermodynamic based scales. Threading experiments performed by using an inverse folding protocol show that 50 of 62 test structures correctly recognize their native sequence on the basis of short-range potentials. The performance is improved to 55, upon simultaneous consideration of short-range potentials and the nonbonded interaction potentials between sequentially distant residues. Interactions between near residues along the primary structure, i.e., the local or short-range interactions, are known to be insufficient, alone, for understanding the tertiary structural preferences of proteins alone. Yet, knowledge of short-range conformational potentials permits rationalizing the secondary structure propensities and aids in the discrimination between correct and incorrect tertiary folds.
对已知结构进行统计分析,以评估短程能量考量的效用。对于每种氨基酸类型,推导了控制(1)虚拟Cα - Cα键的扭转和键角变化以及(2)扭转和键角变化之间耦合的势能。这些势能对天然蛋白质的稳定性贡献约为每个残基 - 2RT,其中约一半归因于耦合效应。不同残基的α - 螺旋状态的扭转势能经证实与在溶剂暴露区域进行单点突变时的自由能变化测量结果高度相关。同样,尽管三级环境在稳定β - 折叠中起作用,但不同氨基酸的β - 折叠势能与自由能测量尺度之间仍显示出令人满意的相关性。此外,我们针对α - 螺旋状态的残基特异性势能与其他基于热力学的尺度之间存在极好的一致性。使用反向折叠协议进行的穿线实验表明,62个测试结构中有50个基于短程势能正确识别其天然序列。在同时考虑短程势能和顺序上相隔较远的残基之间的非键相互作用势能后,性能提高到了55。已知沿着一级结构的相邻残基之间的相互作用,即局部或短程相互作用,单独而言不足以理解蛋白质的三级结构偏好。然而,短程构象势能的知识有助于合理化二级结构倾向,并有助于区分正确和不正确的三级折叠。