[πDMD模拟作为AlphaFold2模型模糊蛋白复合物结构的改进策略]。

Q3 Medicine
N G Muradyan, A A Sargsyan, V G Arakelov, A K Paronyan, G G Arakelov, K B Nazaryan
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引用次数: 0

摘要

无序蛋白质由于其结构特征而引起极大的兴趣,因为它们没有明确的三维结构。这些蛋白质,通常被称为内在无序蛋白质或区域,在各种细胞过程中发挥关键作用,并与许多疾病的发展有关。我们的计算机研究侧重于蛋白质复合物的研究,这些蛋白质复合物既包括有序蛋白,如14-3-3γ,也包括含有内在无序区域的蛋白质,如SARS-CoV-2的核衣壳(N)和p53。我们的研究结果表明,由AlphaFold2建模并使用离散分子动力学模拟改进的复合物在无序区域获得组装结构。经过改进后,模型复合物显示出一定程度的结构组装,解决了研究无序蛋白质的关键挑战-它们逃避稳定构象的倾向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[πDMD Simulation as a Strategy for Refinement of AlphaFold2 Modeled Fuzzy Protein Complexes Structures].

Disordered proteins are of great interest due to their structural features, as they do not have well- defined three-dimensional structures. These proteins, often called intrinsically disordered proteins or regions, play critical roles in various cellular processes and are associated with the development of a number of diseases. Our in silico research focused on the investigation of protein complexes that include both ordered proteins, such as 14-3-3γ, and proteins containing intrinsically disordered regions, such as nucleocapsid (N) of SARS-CoV-2 and p53. Our findings demonstrate, that complexes modeled by AlphaFold2 and refined using discrete molecular dynamics simulations acquire assembled structures in disordered regions. After refinement, the modeled complexes exhibit a degree of structural assembly that addresses a key challenge in studying disordered proteins-their propensity to evade stable conformations.

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来源期刊
Molekulyarnaya Biologiya
Molekulyarnaya Biologiya Medicine-Medicine (all)
CiteScore
0.70
自引率
0.00%
发文量
131
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