AI-assisted generation and in-depth in-silico evaluation of potential inhibitor targeting aurora kinase A (AURKA): An anticancer discovery exploiting synthetic lethality approach

IF 3.8 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Archives of biochemistry and biophysics Pub Date : 2024-11-02 DOI:10.1016/j.abb.2024.110209
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Abstract

Genetic alterations are lead causative agents behind the complex pathologies of cancers which render all treatments unarmed. Such alterations in oncogenes can be treated by direct inhibition by specific drugs while alteration in tumor suppressor genes mediating loss of function is challenging to treat. Identification of synthetic lethal partners to specific tumor suppressor genes and mediating their inhibition can be a potential approach to deal with loss of function mutations. Aurora kinase A (AURKA) has been established as an effective synthetic lethal partner of several tumor suppressor genes and is overexpressed in cancerous conditions, mediating adverse pathologies. The present AI-assisted study deals with the generation of novel inhibitor compounds against AURKA and the exhaustive evaluation of the best compound using molecular docking, molecular dynamic simulation, MM/PBSA, and QM/MMGBSA-based analysis. Out of the 200 novel compounds generated using features of ATP binding pocket of AURKA and previously reported inhibitor, compound 1 (4-{5-fluoro-6-[(1Z)-3-hydrazinyl-3-oxo-2-phenylprop-1-en-1-yl]pyridin-2-yl}benzoic acid) was identified as the most potent candidate with high negative binding energy of −10.4 kcal/mol in molecular docking analysis. The molecular dynamic simulation analysis resulted in major conformational changes in the conserved DFG motif and loop 277–291 of AURKA in the apo-AURKA compared to AURKA-compound 1 complex thus maintaining open ATP binding cavity in apo-form and inhibiting the entry of ATP to its binding site in complex form. The free energy landscape displayed a persistence of folded states of the enzyme in complex form. The MM/PBSA revealed effective Gibb's free energy of binding of −11 kcal/mol for compound 1 inhibiting AURKA. The QM/MMGBSA analysis resulted in a significantly high negative binding energy of −13.98 kcal/mol proving significant inhibition potential of compound 1 against AURKA. Therefore, further in-vitro investigation can provide a novel effective, and safe treatment against a wide range of cancers by targeting a well-established cancer target AURKA.

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人工智能辅助生成并深入评估靶向极光激酶 A (AURKA) 的潜在抑制剂:利用合成致死率方法的抗癌发现。
基因改变是癌症复杂病理背后的主要致病因素,使得所有治疗方法都束手无策。致癌基因的这种改变可以通过特定药物直接抑制来治疗,而介导功能丧失的抑癌基因的改变则很难治疗。鉴定特定肿瘤抑制基因的合成致死伙伴并对其进行介导抑制,是处理功能缺失突变的一种潜在方法。极光激酶 A(AURKA)已被确定为多个肿瘤抑制基因的有效合成致死伙伴,并在癌症条件下过度表达,介导不良病理现象。本人工智能辅助研究涉及针对 AURKA 生成新型抑制剂化合物,并使用分子对接、分子动态模拟、MM/PBSA 和基于 QM/MMGBSA 的分析对最佳化合物进行详尽评估。在利用 AURKA 的 ATP 结合口袋特征和先前报道的抑制剂生成的 200 个新型化合物中,化合物 1(4-{5-氟-6-[(1Z)-3-肼基-3-氧代-2-苯基丙-1-烯-1-基]吡啶-2-基}苯甲酸)在分子对接分析中被确定为最有效的候选化合物,其负结合能高达 -10.4 kcal/mol。对 AURKA-化合物 1 复合物和 apo-AURKA 蛋白的分子动态模拟分析结果表明,在 AURKA-化合物 1 复合物中,AURKA 的保守 DFG 矩阵和环路 277-291 发生了重大构象变化,从而抑制了 ATP 进入其结合位点。自由能图谱显示,在复合物形式下,酶的折叠状态持续存在。MM/PBSA 发现化合物 1 抑制 AURKA 的有效吉布斯结合自由能为 -11 kcal/mol。QM/MMGBSA 分析得出的负结合能高达 -13.98 kcal/mol,证明化合物 1 对 AURKA 具有显著的抑制潜力。因此,进一步的体外研究可以通过靶向已确立的癌症靶点 AURKA,提供一种有效、安全的新型癌症治疗方法。
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来源期刊
Archives of biochemistry and biophysics
Archives of biochemistry and biophysics 生物-生化与分子生物学
CiteScore
7.40
自引率
0.00%
发文量
245
审稿时长
26 days
期刊介绍: Archives of Biochemistry and Biophysics publishes quality original articles and reviews in the developing areas of biochemistry and biophysics. Research Areas Include: • Enzyme and protein structure, function, regulation. Folding, turnover, and post-translational processing • Biological oxidations, free radical reactions, redox signaling, oxygenases, P450 reactions • Signal transduction, receptors, membrane transport, intracellular signals. Cellular and integrated metabolism.
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AI-assisted generation and in-depth in-silico evaluation of potential inhibitor targeting aurora kinase A (AURKA): An anticancer discovery exploiting synthetic lethality approach Editorial Board Identification of positions in human aldolase a that are neutral for apparent KM Liquiritigenin inhibits the migration, invasion, and EMT of prostate cancer through activating ER stress Rituximab induces ferroptosis and RSL3 overcomes rituximab resistance in diffuse large B-cell lymphoma cells
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