In silico discovery of natural and synthetic inhibitors targeting AKT1 in prostate cancer.

IF 4.3 2区 化学 Q2 CHEMISTRY, APPLIED
Molecular Diversity Pub Date : 2026-10-01 Epub Date: 2026-04-26 DOI:10.1007/s11030-026-11563-w
Hemantha Mani Kumar Chakravarthi Chanda, Sudheer Kumar Katari
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引用次数: 0
在计算机上发现针对前列腺癌中AKT1的天然和合成抑制剂。
丝氨酸/苏氨酸激酶AKT1在癌症进展和治疗耐药中起关键作用,特别是在去势抵抗性前列腺癌(CRPC)中。本研究采用集成的计算机方法从Drugbank和IMPPAT数据库的28008个化合物库中鉴定潜在的AKT1催化结构域抑制剂。使用AutoDock Vina和AutoDock 4.2进行基于结构的虚拟筛选,确定了5个有希望的候选药物,其中4-羧基米唑和Balanol Analog 2的结合亲和力最高(- 9.553,- 9.301 kcal/mol),与共晶参考配体XOO (- 3.092 kcal/mol)相当。通过XOO的重新对接验证对接协议,RMSD为2.950 Å,证实了对接过程的可靠性。分子动力学(MD)模拟(300 ns)显示,这两种化合物的RMSD均较低(值范围为0.64-5.53 Å),与参考复合物的RMSD(值范围为0.879-8.136 Å)相当。RMSF分析表明,结合口袋内的残基波动有限,而氢键分析显示,在整个模拟期间,持续的相互作用有助于稳定的结合。主成分分析(PCA)和自由能分析(FEL)进一步支持了配体结合的AKT1配合物相对于参比体系的构象稳定性和受限运动。ADME分析显示,4-羧基咪唑具有优越的药物样性质,而Balanol Analog 2则引起了与代谢相关的潜在担忧。这两种化合物的毒性预测总体上都在可接受的范围内,没有很强的致突变性或细胞毒性迹象。密度泛函理论(DFT)计算结果表明,4-羧基咪唑和Balanol Analog 2具有较低的偶极矩和适中的HOMO-LUMO能隙(分别为4.279和3.057 eV),表明它们具有特异性和稳定性。虽然结果很有希望,但需要进一步的实验验证来确认抑制活性和治疗潜力。总的来说,本研究确定了4-羧基咪唑和Balanol Analog 2是开发akt1靶向治疗CRPC的有希望的先导化合物。
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
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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