In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-09-10 DOI:10.1186/s12860-022-00437-2
Abolfazl Mirzadeh, George Kobakhidze, Rémi Vuillemot, Slavica Jonic, Isabelle Rouiller
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引用次数: 3

Abstract

Background: The AAA + ATPase p97 is an essential unfoldase/segragase involved in a multitude of cellular processes. It functions as a molecular machine critical for protein homeostasis, homotypic membrane fusion events and organelle biogenesis during mitosis in which it acts in concert with cofactors p47 and p37. Cofactors assist p97 in extracting and unfolding protein substrates through ATP hydrolysis. In contrast to other p97's cofactors, p37 uniquely increases the ATPase activity of p97. Disease-causing mutations in p97, including mutations that cause neurodegenerative diseases, increase cofactor association with its N-domain, ATPase activity and improper substrate processing. Upregulation of p97 has also been observed in various cancers. This study aims towards the characterization of the protein-protein interaction between p97 and p37 at the atomic level. We defined the interacting residues in p97 and p37. The knowledge will facilitate the design of unique small molecules inhibiting this interaction with insights into cancer therapy and drug design.

Results: The homology model of human p37 UBX domain was built from the X-ray crystal structure of p47 C-terminus from rat (PDB code:1S3S, G) as a template and assessed by model validation analysis. According to the HDOCK, HAWKDOCK, MM-GBSA binding free energy calculations and Arpeggio, we found that there are several hydrophobic and two hydrogen-bonding interactions between p37 UBX and p97 N-D1 domain. Residues of p37 UBX predicted to be involved in the interactions with p97 N-D1 domain interface are highly conserved among UBX cofactors.

Conclusion: This study provides a reliable structural insight into the p37-p97 complex binding sites at the atomic level though molecular docking coupled with molecular dynamics simulation. This can guide the rational design of small molecule drugs for inhibiting mutant p97 activity.

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人类p97与p37辅因子复合物的计算机预测、表征、对接研究及分子动力学模拟。
背景:AAA + atp酶p97是参与多种细胞过程的重要展开酶/分离酶。在有丝分裂过程中,它与辅助因子p47和p37协同作用,是蛋白质稳态、同型膜融合事件和细胞器生物发生的关键分子机器。辅助因子协助p97通过ATP水解提取和展开蛋白质底物。与其他p97的辅助因子相比,p37独特地增加了p97的atp酶活性。p97的致病突变,包括引起神经退行性疾病的突变,增加了与其n结构域、atp酶活性和不适当的底物加工相关的辅因子。在各种癌症中也观察到p97的上调。本研究的目的是在原子水平上表征p97和p37之间的蛋白-蛋白相互作用。我们定义了p97和p37的相互作用残基。这些知识将有助于设计独特的小分子,抑制这种相互作用,从而深入了解癌症治疗和药物设计。结果:以大鼠p47 c端(PDB编码:1S3S, G)的x射线晶体结构为模板,建立了人p37 UBX结构域的同源性模型,并进行了模型验证分析。通过HDOCK, HAWKDOCK, MM-GBSA结合自由能计算和Arpeggio,我们发现p37 UBX和p97 N-D1结构域之间存在几个疏水和两个氢键相互作用。预计与p97 N-D1结构域界面相互作用的p37 UBX残基在UBX辅助因子中高度保守。结论:本研究通过分子对接结合分子动力学模拟,在原子水平上对p37-p97复合体结合位点提供了可靠的结构洞察。这可以指导合理设计抑制p97突变体活性的小分子药物。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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