Quantum chemical optimization and residue-specific stabilization of CDK20 inhibitors in hepatocellular carcinoma.

IF 3.8 2区 化学 Q2 CHEMISTRY, APPLIED
Ahmed I Foudah, Mohammed H Alqarni, Tariq M Aljarba, Talha Jawaid, Osama A Alkhamees, Saud M Alsanad, Khalid I AlHussaini, Aftab Alam
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引用次数: 0

Abstract

Cyclin-dependent kinase 20 (CDK20), also known as cell cycle-related kinase (CCRK), plays a pivotal role in hepatocellular carcinoma (HCC) progression by regulating β-catenin signaling and promoting uncontrolled proliferation. Despite its emerging significance, selective small-molecule inhibitors of CDK20 remain unexplored. In this study, a known CDK20 inhibitor, ISM042-2-048, was employed as a reference to retrieve structurally similar compounds from the PubChem database using an 85% similarity threshold. Out of 6,235 candidates, the top three compounds (153295720, 145037521, and 163292314) were shortlisted through MTiOpenScreen-based virtual screening. Geometry optimizations using density functional theory (B3LYP/cc-pVDZ) refined each ligand's electronic properties before re-docking against the AlphaFold-derived CDK20 structure. 153295720 exhibited the highest binding affinity (- 11.8 kcal/mol), engaging critical active-site residues such as Met84, Lys33, Ala131, and Asp145 through polar and hydrophobic interactions. Molecular dynamics simulations (500 ns) confirmed the complex's structural stability, with 153295720 showing the lowest RMSD and RMSF fluctuations and highly persistent hydrogen bonding. MM/GBSA analysis further supported its superiority, revealing the most favorable binding energy (- 69.09 ± 8.29 kcal/mol), dominated by van der Waals and electrostatic interactions. Free energy landscape analysis revealed a single dominant basin, and superimposition of MD-derived minima with the docked pose yielded an RMSD of 1.464 Å, supporting pose fidelity. Comparatively, the reference compound displayed greater conformational drift and reduced energetic convergence. This integrative computational approach establishes 153295720 as a structurally and dynamically superior inhibitor, capable of stabilizing key catalytic residues of CDK20. These findings provide a rational basis for the biochemical targeting of CDK20 in HCC and highlight residues essential for selective inhibition, paving the way for experimental validation and lead optimization.

CDK20抑制剂在肝细胞癌中的量子化学优化和残基特异性稳定。
细胞周期蛋白依赖性激酶20 (CDK20),也被称为细胞周期相关激酶(CCRK),通过调节β-catenin信号传导和促进不受控制的增殖,在肝细胞癌(HCC)的进展中起关键作用。尽管具有重要意义,但CDK20的选择性小分子抑制剂仍未被探索。在本研究中,以已知的CDK20抑制剂ISM042-2-048为参考,以85%的相似性阈值从PubChem数据库中检索结构相似的化合物。在6235个候选药物中,前三名化合物(153295720、145037521和163292314)通过基于mtiopenscreen的虚拟筛选入围。利用密度泛函理论(B3LYP/cc-pVDZ)的几何优化优化了每个配体的电子性质,然后与alphafold衍生的CDK20结构重新对接。153295720表现出最高的结合亲和力(- 11.8 kcal/mol),通过极性和疏水相互作用与Met84、Lys33、Ala131和Asp145等关键活性位点残基结合。分子动力学模拟(500 ns)证实了该配合物的结构稳定性,其中153295720表现出最低的RMSD和RMSF波动和高度持久的氢键。MM/GBSA分析进一步支持了其优势,揭示了最有利的结合能(- 69.09±8.29 kcal/mol),以范德华和静电相互作用为主。自由能景观分析显示,该地区存在单一优势盆地,md导出的最小值与对接位姿的叠加RMSD为1.464 Å,支持位姿保真度。相比之下,参考化合物表现出更大的构象漂移和减少的能量收敛。这种综合计算方法确定了153295720是一种结构和动力学上优越的抑制剂,能够稳定CDK20的关键催化残基。这些发现为CDK20在HCC中的生化靶向提供了合理的基础,并突出了选择性抑制所必需的残基,为实验验证和先导物优化铺平了道路。
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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