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选择性生物活性化合物阻断α- dystroglycan受体以抑制拉沙病毒感染的靶向特异性:一种方法。

Target specificity of selective bioactive compounds in blocking α-dystroglycan receptor to suppress Lassa virus infection: an approach.

作者信息

Arefin Adittya, Ismail Ema Tanzila, Islam Tamnia, Hossen Saddam, Islam Tariqul, Al Azad Salauddin, Uddin Badal Nasir, Islam Aminul, Biswas Partha, Alam Nafee Ul, Islam Enayetul, Anjum Maliha, Masud Afsana, Kamran Shaikh, Rahman Ahsab, Kumar Paul Parag

机构信息

Wolfson Institute for Biomedical Research, Division of Medicine, University College London, London WC1E6AE, UK.

Department of Biochemistry and Microbiology, North South University, Dhaka 1229, Bangladesh.

出版信息

J Biomed Res. 2021 Nov 6;35(6):459-473. doi: 10.7555/JBR.35.20210111.

Abstract

Lassa hemorrhagic fever, caused by Lassa mammarenavirus (LASV) infection, accumulates up to 5000 deaths every year. Currently, there is no vaccine available to combat this disease. In this study, a library of 200 bioactive compounds was virtually screened to study their drug-likeness with the capacity to block the α-dystroglycan (α-DG) receptor and prevent LASV influx. Following rigorous absorption, distribution, metabolism, and excretion (ADME) and quantitative structure-activity relationship (QSAR) profiling, molecular docking was conducted with the top ligands against the α-DG receptor. The compounds chrysin, reticuline, and 3-caffeoylshikimic acid emerged as the top three ligands in terms of binding affinity. Post-docking analysis revealed that interactions with Arg76, Asn224, Ser259, and Lys302 amino acid residues of the receptor protein were important for the optimum binding affinity of ligands. Molecular dynamics simulation was performed comprehensively to study the stability of the protein-ligand complexes. In-depth assessment of root-mean-square deviation (RMSD), root mean square fluctuation (RMSF), polar surface area (PSA), B-Factor, radius of gyration (Rg), solvent accessible surface area (SASA), and molecular surface area (MolSA) values of the protein-ligand complexes affirmed that the candidates with the best binding affinity formed the most stable protein-ligand complexes. To authenticate the potentialities of the ligands as target-specific drugs, an study is underway in real time as the continuation of the research.

摘要

拉沙出血热由拉沙哺乳类沙粒病毒(LASV)感染引起,每年导致多达5000人死亡。目前,尚无可用疫苗来对抗这种疾病。在本研究中,对一个包含200种生物活性化合物的文库进行了虚拟筛选,以研究它们的类药性质以及阻断α- dystroglycan(α-DG)受体并防止LASV内流的能力。经过严格的吸收、分布、代谢和排泄(ADME)以及定量构效关系(QSAR)分析后,使用顶级配体针对α-DG受体进行了分子对接。就结合亲和力而言,白杨素、网状番荔枝碱和3-咖啡酰莽草酸成为前三大配体。对接后分析表明,与受体蛋白的Arg76、Asn224、Ser259和Lys302氨基酸残基的相互作用对于配体的最佳结合亲和力很重要。全面进行了分子动力学模拟以研究蛋白质-配体复合物的稳定性。对蛋白质-配体复合物的均方根偏差(RMSD)、均方根波动(RMSF)、极性表面积(PSA)、B因子、回转半径(Rg)、溶剂可及表面积(SASA)和分子表面积(MolSA)值的深入评估证实,具有最佳结合亲和力的候选物形成了最稳定的蛋白质-配体复合物。为了验证这些配体作为靶向特异性药物的潜力,作为该研究的延续,一项实时研究正在进行中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d08e/8637655/e933e0efb1a5/jbr-35-6-459-1.jpg

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