Gaines J C, Virrueta A, Buch D A, Fleishman S J, O'Hern C S, Regan L
Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.
Integrated Graduate Program in Physical and Engineering Biology (IGPPEB), Yale University, New Haven, CT 06520, USA.
Protein Eng Des Sel. 2017 May 1;30(5):387-394. doi: 10.1093/protein/gzx011.
Protein core repacking is a standard test of protein modeling software. A recent study of six different modeling software packages showed that they are more successful at predicting side chain conformations of core compared to surface residues. All the modeling software tested have multicomponent energy functions, typically including contributions from solvation, electrostatics, hydrogen bonding and Lennard-Jones interactions in addition to statistical terms based on observed protein structures. We investigated to what extent a simplified energy function that includes only stereochemical constraints and repulsive hard-sphere interactions can correctly repack protein cores. For single residue and collective repacking, the hard-sphere model accurately recapitulates the observed side chain conformations for Ile, Leu, Phe, Thr, Trp, Tyr and Val. This result shows that there are no alternative, sterically allowed side chain conformations of core residues. Analysis of the same set of protein cores using the Rosetta software suite revealed that the hard-sphere model and Rosetta perform equally well on Ile, Leu, Phe, Thr and Val; the hard-sphere model performs better on Trp and Tyr and Rosetta performs better on Ser. We conclude that the high prediction accuracy in protein cores obtained by protein modeling software and our simplified hard-sphere approach reflects the high density of protein cores and dominance of steric repulsion.
蛋白质核心重排是蛋白质建模软件的一项标准测试。最近一项对六种不同建模软件包的研究表明,与表面残基相比,它们在预测核心侧链构象方面更成功。所有测试的建模软件都有多组分能量函数,除了基于观察到的蛋白质结构的统计项外,通常还包括溶剂化、静电、氢键和 Lennard-Jones 相互作用的贡献。我们研究了一种仅包括立体化学约束和排斥性硬球相互作用的简化能量函数在多大程度上能够正确地重排蛋白质核心。对于单残基和集体重排,硬球模型准确地概括了异亮氨酸、亮氨酸、苯丙氨酸、苏氨酸、色氨酸、酪氨酸和缬氨酸观察到的侧链构象。这一结果表明,核心残基不存在其他空间允许的侧链构象。使用 Rosetta 软件套件对同一组蛋白质核心进行分析表明,硬球模型和 Rosetta 在异亮氨酸、亮氨酸、苯丙氨酸、苏氨酸和缬氨酸上表现同样出色;硬球模型在色氨酸和酪氨酸上表现更好,而 Rosetta 在丝氨酸上表现更好。我们得出结论,蛋白质建模软件和我们简化的硬球方法在蛋白质核心中获得的高预测准确性反映了蛋白质核心的高密度和空间排斥的主导作用。