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基于从头设计的潜在HIV-1整合酶抑制剂的鉴定:一项药物信息学研究。

De novo design based identification of potential HIV-1 integrase inhibitors: A pharmacoinformatics study.

作者信息

Shinde Pooja Balasaheb, Bhowmick Shovonlal, Alfantoukh Etidal, Patil Pritee Chunarkar, Wabaidur Saikh Mohammad, Chikhale Rupesh V, Islam Md Ataul

机构信息

Department of Bioinformatics, Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth Deemed University, Pune-Satara Road, Pune, India.

Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata, 700009, India.

出版信息

Comput Biol Chem. 2020 Oct;88:107319. doi: 10.1016/j.compbiolchem.2020.107319. Epub 2020 Jun 23.

Abstract

In the present study, pharmacoinformatics paradigms include receptor-based de novo design, virtual screening through molecular docking and molecular dynamics (MD) simulation are implemented to identify novel and promising HIV-1 integrase inhibitors. The de novodrug/ligand/molecule design is a powerful and effective approach to design a large number of novel and structurally diverse compounds with the required pharmacological profiles. A crystal structure of HIV-1 integrase bound with standard inhibitor BI-224436 is used and a set of 80,000 compounds through the de novo approach in LigBuilder is designed. Initially, a number of criteria including molecular docking, in-silico toxicity and pharmacokinetics profile assessments are implied to reduce the chemical space. Finally, four de novo designed molecules are proposed as potential HIV-1 integrase inhibitors based on comparative analyses. Notably, strong binding interactions have been identified between a few newly identified catalytic amino acid residues and proposed HIV-1 integrase inhibitors. For evaluation of the dynamic stability of the protein-ligand complexes, a number of parameters are explored from the 100 ns MD simulation study. The MD simulation study suggested that proposed molecules efficiently retained their molecular interaction and structural integrity inside the HIV-1 integrase. The binding free energy is calculated through the Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) approach for all complexes and it also explains their thermodynamic stability. Hence, proposed molecules through de novo design might be critical to inhibiting the HIV-1 integrase.

摘要

在本研究中,实施了包括基于受体的从头设计、通过分子对接和分子动力学(MD)模拟进行虚拟筛选等药物信息学范式,以识别新型且有前景的HIV-1整合酶抑制剂。从头药物/配体/分子设计是一种强大而有效的方法,可设计出大量具有所需药理学特征的新型且结构多样的化合物。使用与标准抑制剂BI-224436结合的HIV-1整合酶晶体结构,并通过LigBuilder中的从头方法设计了一组80,000种化合物。最初,采用包括分子对接、计算机模拟毒性和药代动力学特征评估等多种标准来缩小化学空间。最后,基于比较分析,提出了四种从头设计的分子作为潜在的HIV-1整合酶抑制剂。值得注意的是,在一些新鉴定的催化氨基酸残基与所提出的HIV-1整合酶抑制剂之间发现了强烈的结合相互作用。为了评估蛋白质-配体复合物的动态稳定性,从100 ns的分子动力学模拟研究中探索了多个参数。分子动力学模拟研究表明,所提出的分子在HIV-1整合酶内部有效地保留了它们的分子相互作用和结构完整性。通过分子力学泊松-玻尔兹曼表面积(MM-PBSA)方法计算了所有复合物的结合自由能,这也解释了它们的热力学稳定性。因此,通过从头设计提出的分子可能对抑制HIV-1整合酶至关重要。

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