Ł J Dziadek, A K Sieradzan, C Czaplewski, M Zalewski, F Banaś, M Toczek, W Nisterenko, S Grudinin, A Liwo, A Giełdoń
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引用次数: 0
摘要
本文评估了四种粗粒度方法预测具有潜在生物学重要性的蛋白质柔性区域的能力:UNRES-flex、UNRES-DSSP-flex(分别基于无二级结构约束和有二级结构约束的多肽链联合残基模型)、CABS-flex(基于 C-α、C-β 和侧链模型)和非线性刚性块法向模式分析(NOLB)、分别)、CABS-flex(基于 C-α、C-β 和侧链模型)和非线性刚性块法向模式分析(NOLB)。分析中排除了波动较大的末端区域。皮尔逊和斯皮尔曼相关系数用于量化计算和实验波动曲线之间的一致性,后者分别由核磁共振集合和 X 射线 B 因子确定。对于 X 射线结构(对应于拥挤环境中的蛋白质),NOLB 使预测波动曲线与实验波动曲线之间的一致性达到最佳,而对于 NMR 结构(对应于溶液中的蛋白质),性能排名为 CABS-flex > UNRES-DSSP-flex > UNRES-flex > NOLB;不过,与 UNRES-DSSP-flex 相比,CABS-flex 有时会夸大小波动的程度。
Assessment of Four Theoretical Approaches to Predict Protein Flexibility in the Crystal Phase and Solution.
In this paper, we evaluated the ability of four coarse-grained methods to predict protein flexible regions with potential biological importance, UNRES-flex, UNRES-DSSP-flex (based on the united residue model of polypeptide chains without and with secondary structure restraints, respectively), CABS-flex (based on the C-α, C-β, and side chain model), and nonlinear rigid block normal mode analysis (NOLB) with a set of 100 protein structures determined by NMR spectroscopy or X-ray crystallography, with all secondary structure types. End regions with high fluctuations were excluded from analysis. The Pearson and Spearman correlation coefficients were used to quantify the conformity between the calculated and experimental fluctuation profiles, the latter determined from NMR ensembles and X-ray B-factors, respectively. For X-ray structures (corresponding to proteins in a crowded environment), NOLB resulted in the best agreement between the predicted and experimental fluctuation profiles, while for NMR structures (corresponding to proteins in solution), the ranking of performance is CABS-flex > UNRES-DSSP-flex > UNRES-flex > NOLB; however, CABS-flex sometimes exaggerated the extent of small fluctuations, as opposed to UNRES-DSSP-flex.
期刊介绍:
The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.