Shortle David
Department of Biological Chemistry, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.
Protein Sci. 2003 Jun;12(6):1298-302. doi: 10.1110/ps.0306903.
The relative strengths of interactions involving polypeptide chains can be estimated with reasonable accuracy with statistical potentials, free-energy functions derived from the frequency of occurrence of structural arrangements of residues or atoms in collections of protein structures. Recent published work has shown that the energetics of side-chain/backbone interactions can be modeled by the phi/psi propensities of the 20 amino acids. In this report, the more commonly used phi/psi probabilities are demonstrated to fail in evaluating the free energies of protein conformations because of an overriding preference for all helical structures. Comparison of the hypothetical reactions implied by these two different statistics-propensities versus probabilities-leads to the conclusion that the Boltzmann hypothesis may only be applicable for the calculation of statistical potentials after the starting conformation has been specified. This conclusion supports a simple conjecture: The surprising success of the Boltzmann hypothesis in explaining the energetics of protein structures is a direct consequence of a real equilibrium, one extending over evolutionary time that has maintained the stability of each protein within a narrow range of values.
利用统计势可以较为准确地估计涉及多肽链的相互作用强度,统计势是一种自由能函数,它源自蛋白质结构集合中残基或原子结构排列出现的频率。最近发表的研究表明,侧链/主链相互作用的能量学可以通过20种氨基酸的φ/ψ倾向来建模。在本报告中,由于对所有螺旋结构的压倒性偏好,已证明更常用的φ/ψ概率在评估蛋白质构象的自由能时失效。对这两种不同统计方法(倾向与概率)所隐含的假设反应进行比较后得出结论,即玻尔兹曼假设可能仅在指定起始构象后才适用于统计势的计算。这一结论支持了一个简单的推测:玻尔兹曼假设在解释蛋白质结构能量学时的惊人成功是真实平衡的直接结果,这种平衡在进化时间上得以延伸,使每个蛋白质的稳定性维持在狭窄的数值范围内。