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利用多扭转势在粗粒度蛋白质结构建模中重新捕捉α-螺旋形成和堆积的协同性。

Recapturing Cooperativity of α-Helix Formation and Packing in Coarse-Grained Protein Structure Modeling with Multitorsional Potentials.

作者信息

Petrusevich Elizaveta F, Liwo Adam

机构信息

Faculty of Chemistry, University of Gdańsk, Fahrenheit Union of Universities in Gdańsk, Wita Stwosza 63, Gdańsk 80-308 Gdańsk, Poland.

出版信息

J Phys Chem B. 2025 Jul 17;129(28):7119-7133. doi: 10.1021/acs.jpcb.5c03985. Epub 2025 Jul 3.

Abstract

The multitorsional potential accounting for cooperativity of local interactions proposed in our previous work (Sikorska & Liwo, , , 126, 9493-9505; , 127, 425-426) has been introduced into the UNRES coarse-grained force field. The parameters of the potential have been found by means of maximum-likelihood principle using the data of 1,092,517 helical segments of protein structures of the Protein Data Bank. The modified UNRES has been tested with a set of 28 α-helical proteins with size from 20 to 126 amino acid residues and various topologies. With the best parametrization, the first-choice models were significantly improved for 10 proteins (ΔGDT_TS > 5) and deteriorated for 3 proteins (ΔGDT_TS < -5). The improvement resulted from strengthening of the helical sections and improving the geometry of the fragments following helix ends, thus enabling correct packing. Overstrengthening the helical sections was the main reason for model deterioration.

摘要

我们之前工作中提出的用于解释局部相互作用协同性的多维度势(Sikorska & Liwo, , , 126, 9493 - 9505; , 127, 425 - 426)已被引入到UNRES粗粒化力场中。利用蛋白质数据库中1,092,517个蛋白质结构螺旋片段的数据,通过最大似然原理确定了该势的参数。改进后的UNRES已用一组28个α - 螺旋蛋白进行了测试,这些蛋白的大小从20到126个氨基酸残基不等,且具有各种拓扑结构。在最佳参数化条件下,10种蛋白质的首选模型得到了显著改善(ΔGDT_TS > 5),3种蛋白质的模型则变差(ΔGDT_TS < -5)。这种改善源于螺旋部分的强化以及螺旋末端后片段几何形状的改善,从而实现了正确的堆积。螺旋部分过度强化是模型变差的主要原因。

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