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In silicoscreening combined with bioactivity evaluation to identify AMI-1 as a novel anticancer compound by targeting AXL

生物信息学 虚拟筛选 药物发现 化学 计算生物学 IC50型 药品 突变体 工作流程 药理学 计算机科学 体外 生物化学 生物 数据库 基因
作者
Linxiao Wang,Yufeng An,Xiongpiao Wei,Xiaoling Huang,Yuanbiao Tu,Lukai Qiao,Wufu Zhu
出处
期刊:Journal of Biomolecular Structure & Dynamics [Taylor & Francis]
卷期号:42 (15): 7686-7698 被引量:7
标识
DOI:10.1080/07391102.2023.2255654
摘要

AbstractRecently, some studies have proven that AXL plays a crucial role in the drug resistance of tumors. At present, no AXL inhibitors on the market and it is essential to discover novel compounds targeting AXL to overcome resistance. In this work, based on the anchor structure, 21,313 compounds were obtained by substructure search from more than 400,000 compounds. Then, the Qvina and Ledock were selected for virtual screening to obtain 17 compounds. Next, four compounds (ARRY614, AMI-1, NG25, and Butein) were selected for bioactivity evaluation after hydrogen bond and cluster analysis. Further activity evaluation suggested that the compound AMI-1 is a novel AXL inhibitor with an IC50 value of 1.13 uM. In addition, molecular dynamics simulation demonstrated that compound AMI-1 contained lower binding energy and more key residues than the other three compounds, showing the best inhibitory activity against AXL. Finally, further MM/PBSA prediction showed that AMI-1 is more sensitive to mutant protein 3IKA than wildtype protein 1M17, which means that the AMI-1 may be helpful to overcome the resistance of EGFRT790M mutations. In conclusion, this work successfully discovered a novel compound with moderate inhibitory activity against AXL by a drug discovery workflow, which also could be applied to discover active compounds for other targets quickly.Communicated by Ramaswamy H. SarmaKeywords: Resistance of tumorsROC-guided virtual screeningAXL inhibitorclustering analysismolecular dynamics simulation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was financially supported by the Jiangxi Province Science Foundation for Youths (20224BAB216112), the Science and Technology Research Foundation of Jiangxi Education Department (GJJ21113), the Ph.D. Startup Foundation of Jiangxi Science and Technology Normal University (2021BSQD25), the Open Foundation of Jiangxi Provincial Key Laboratory of Drug Design and Evaluation (JKLDE-KF-2203), and the Undergraduate Research Foundation of Jiangxi Science and Technology Normal University (20221604115).
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