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鉴定针对SARS-CoV-2感染的新型跨膜丝氨酸蛋白酶2(TMPRSS2)抑制剂:基于结构的虚拟筛选和分子动力学研究

Identification of novel TMPRSS2 inhibitors against SARS-CoV-2 infection: a structure-based virtual screening and molecular dynamics study.

作者信息

Manandhar Suman, Pai K Sreedhara Ranganath, Krishnamurthy Praveen T, Kiran Ammu V V V Ravi, Kumari Garikapati Kusuma

机构信息

Department of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576 104 India.

Department of Pharmacology, JSS College of Pharmacy (JSS Academy of Higher Education & Research), Ooty, The Nilgiris, 643 001 Tamil Nadu India.

出版信息

Struct Chem. 2022;33(5):1529-1541. doi: 10.1007/s11224-022-01921-3. Epub 2022 Mar 23.

Abstract

The scientific insights gained from the severe acute respiratory syndrome (SARS) and the middle east respiratory syndrome (MERS) outbreaks are helping scientists to fast-track the antiviral drug discovery process against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronaviruses, as well as influenza viruses, depend on host type 2 transmembrane serine protease, TMPRSS2, for entry and propagation in the human cell. Recent studies show that SARS-CoV-2 also uses TMPRSS2 for its cell entry. In the present study, a structure-based virtual screening of 52,337, protease ligands downloaded from the Zinc database was carried out against the homology model of TMPRSS2 protein followed by the molecular dynamics-based simulation to identify potential TMPRSS2 hits. The virtual screening has identified 13 hits with a docking score range of -10.447 to -9.863 and glide energy range of -60.737 to -40.479 kcal/mol. The binding mode analysis shows that the hit molecules form H-bond (Asp180, Gly184 & Gly209), Pi-Pi stacking (His41), and salt bridge (Asp180) type of contacts with the active site residues of TMPRSS2. In the MD simulation of ZINC000013444414, ZINC000137976768, and ZINC000143375720 hits show that these molecules form a stable complex with TMPRSS2. The complex equilibrates well with a minimal RMSD and RMSF fluctuation. All three structures, as predicted in Glide XP docking, show a prominent interaction with the Asp180, Gly184, Gly209, and His41. Further, MD simulation also identifies a notable H-bond interaction with Ser181 for all three hits. Among these hits, ZINC000143375720 shows the most stable binding interaction with TMPRSS2. The present study is successful in identifying TMPRSS2 ligands from zinc data base for a possible application in the treatment of COVID-19.

摘要

从严重急性呼吸综合征(SARS)和中东呼吸综合征(MERS)疫情中获得的科学见解,正在帮助科学家加快针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的抗病毒药物研发进程。冠状病毒以及流感病毒在人类细胞中进入和繁殖都依赖于宿主2型跨膜丝氨酸蛋白酶TMPRSS2。最近的研究表明,SARS-CoV-2进入细胞也利用TMPRSS2。在本研究中,针对TMPRSS2蛋白的同源模型,对从锌数据库下载的52337种蛋白酶配体进行了基于结构的虚拟筛选,随后进行基于分子动力学的模拟,以确定潜在的TMPRSS2活性化合物。虚拟筛选已鉴定出13种活性化合物,对接分数范围为-10.447至-9.863,滑行能量范围为-60.737至-40.479千卡/摩尔。结合模式分析表明,活性化合物分子与TMPRSS2的活性位点残基形成氢键(Asp180、Gly184和Gly209)、π-π堆积(His41)和盐桥(Asp180)类型的相互作用。在ZINC000013444414、ZINC000137976768和ZINC000143375720活性化合物的分子动力学模拟中,这些分子与TMPRSS2形成稳定的复合物。该复合物以最小的均方根偏差(RMSD)和均方根波动(RMSF)很好地达到平衡。如在Glide XP对接中预测的那样,所有三种结构都与Asp180、Gly184、Gly209和His41有显著相互作用。此外,分子动力学模拟还确定了所有三种活性化合物与Ser181之间有显著的氢键相互作用。在这些活性化合物中,ZINC000143375720与TMPRSS2的结合相互作用最稳定。本研究成功地从锌数据库中鉴定出TMPRSS2配体,可能用于治疗2019冠状病毒病(COVID-19)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/825e/8941836/a1aa381e7886/11224_2022_1921_Fig1_HTML.jpg

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