Structure-based screening of FDA-approved drugs and molecular dynamics simulation to identify potential leukocyte antigen related protein (PTP-LAR) inhibitors

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2024-10-28 DOI:10.1016/j.compbiolchem.2024.108264
Shan Du , Xin-Xin Zhang , Xiang Gao, Yan-Bin He
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Abstract

Leukocyte antigen related protein (LAR), a member of the PTP family, has become a potential target for exploring therapeutic interventions for various complex diseases, including neurodegenerative diseases. The reuse of FDA-approved drugs offers a promising approach for rapidly identifying potential LAR inhibitors. In this study, we conducted a structure-based virtual screening of FDA-approved drugs from ZINC database and selected candidate compounds based on their binding affinity and interactions with LAR. Our research revealed that the candidate compound ZINC6716957 exhibited excellent binding affinity to the binding pocket of LAR, formed interactions with key residues at the active site, and demonstrated low toxicity. To further understand the binding dynamics and interaction mechanisms, the 100-ns molecular dynamics simulations were performed. Post-dynamics analyses (RMSD, RMSF, SASA, hydrogen bond, binding free energy and free energy landscape) indicated that the compound ZINC6716957 stabilized the structure of LAR and the residues (Tyr1355, Arg1431, Lys1433, Arg1528, Tyr1563 and Thr1567) played a vital role in stabilizing the conformational changes of protein. In conclusion, the identified compound ZINC6716957 possessed robust inhibitory activity on LAR and merited extensive research, potentially unleashing its significant therapeutic potential in the treatment of complex diseases, particularly neurodegenerative disorders.
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基于结构筛选 FDA 批准的药物和分子动力学模拟,以确定潜在的白细胞抗原相关蛋白 (PTP-LAR) 抑制剂。
白细胞抗原相关蛋白(LAR)是 PTP 家族的成员之一,已成为探索各种复杂疾病(包括神经退行性疾病)治疗干预措施的潜在靶点。美国食品药物管理局(FDA)批准药物的再利用为快速鉴定潜在的 LAR 抑制剂提供了一种很有前景的方法。在本研究中,我们从 ZINC 数据库中对 FDA 批准的药物进行了基于结构的虚拟筛选,并根据其与 LAR 的结合亲和力和相互作用筛选出候选化合物。我们的研究发现,候选化合物 ZINC6716957 与 LAR 的结合口袋具有极佳的结合亲和力,与活性位点的关键残基形成了相互作用,并表现出较低的毒性。为了进一步了解结合动力学和相互作用机制,我们进行了 100-ns 分子动力学模拟。后动力学分析(RMSD、RMSF、SASA、氢键、结合自由能和自由能景观)表明,化合物 ZINC6716957 稳定了 LAR 的结构,其中的残基(Tyr1355、Arg1431、Lys1433、Arg1528、Tyr1563 和 Thr1567)在稳定蛋白质构象变化中发挥了重要作用。总之,所发现的化合物 ZINC6716957 对 LAR 具有很强的抑制活性,值得广泛研究,有望在治疗复杂疾病,尤其是神经退行性疾病方面释放出巨大的治疗潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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