Structure-based discovery of novel ROCK2 inhibitors using integrated virtual screening, molecular dynamics, metadynamics and absolute binding free energy calculations.

In silico pharmacology Pub Date : 2026-08-18 eCollection Date: 2026-01-01 DOI:10.1007/s40203-026-00714-4
Shradheya R R Gupta, Rashmi Rameshwari, Indrakant K Singh, Vanshika Rustagi
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Abstract

Breast cancer remains one of the most prevalent and deadly malignancies in women globally, with metastasis and invasion contributing significantly to its poor prognosis. Rho-associated kinase 2 (ROCK2), a key regulator in the Ras homolog family member (Rho) GTPase signaling pathway, is implicated in tumor progression and cytoskeletal remodeling, making it an attractive therapeutic target. This study presents a structure-based computational strategy to identify and characterize novel ROCK2 inhibitors. An integrated pipeline involving virtual screening of over 1.5 million compounds focused on heterocyclic scaffolds chosen for their structural compatibility. Promising candidates were refined using MM/GBSA rescoring and molecular dynamics simulations. Conformational stability was assessed through principal component analysis and free energy landscape mapping, while well-tempered metadynamics simulations provided detailed free energy surface profiles. Binding affinities were estimated via Absolute Binding Free Energy Perturbation (ABFEP) calculations. Two lead compounds, ASN52 and Selles74, were identified with synthetically tractable heterocyclic cores and demonstrated strong, stable interactions within the ROCK2 active site. ASN52 exhibited a pronounced energetic minimum at 4 Å (- 11 kcal/mol), indicating a highly favorable binding conformation. ABFEP binding free energies of - 6.7 ± 1.27 kcal/mol (ASN52) and 6.15 ± 1.78 kcal/mol (Selles74) further supported their potential as effective ROCK2 inhibitors. These findings provide a computational foundation for the rational design and preclinical development of ROCK2-targeted therapeutics. The approach and results are applicable to the discovery of both small-molecule and peptidomimetic inhibitors, supporting broader efforts in structure-guided drug design targeting kinases involved in cancer and other diseases.

Graphical abstract:

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-026-00714-4.

利用虚拟筛选、分子动力学、元动力学和绝对结合自由能计算,发现基于结构的新型ROCK2抑制剂。
乳腺癌仍然是全球妇女中最常见和最致命的恶性肿瘤之一,其转移和侵袭是其预后不良的重要原因。Rho相关激酶2 (ROCK2)是Ras同源家族成员(Rho) GTPase信号通路的关键调控因子,与肿瘤进展和细胞骨架重塑有关,使其成为一个有吸引力的治疗靶点。本研究提出了一种基于结构的计算策略来识别和表征新的ROCK2抑制剂。一个集成的管道,涉及超过150万种化合物的虚拟筛选,重点是根据结构相容性选择杂环支架。利用MM/GBSA评分和分子动力学模拟对有希望的候选物进行了细化。通过主成分分析和自由能景观图来评估构象稳定性,而经过良好调节的元动力学模拟提供了详细的自由能表面剖面。结合亲和通过绝对结合自由能摄动(ABFEP)计算估计。两个先导化合物ASN52和Selles74被鉴定为具有合成可处理的杂环核心,并在ROCK2活性位点内表现出强而稳定的相互作用。ASN52在4 Å (- 11 kcal/mol)处表现出明显的能量最小值,表明其具有非常有利的结合构象。ABFEP的结合自由能分别为- 6.7±1.27 kcal/mol (ASN52)和6.15±1.78 kcal/mol (Selles74),进一步支持了它们作为有效的ROCK2抑制剂的潜力。这些发现为合理设计和临床前开发rock2靶向治疗提供了计算基础。该方法和结果适用于小分子和拟肽抑制剂的发现,支持更广泛的结构导向药物设计,针对涉及癌症和其他疾病的激酶。图片摘要:补充资料:在线版本包含补充资料,网址为10.1007/s40203-026-00714-4。
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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