In Silico Identification of Lepiotaprocerin C as a Promising PIM-1 Kinase Inhibitor: An Integrated Docking, Molecular Dynamics, MM/PBSA, QSAR, and ADMET Study.

IF 2 Q3 BIOCHEMICAL RESEARCH METHODS
Bioinformatics and Biology Insights Pub Date : 2026-01-12 eCollection Date: 2026-01-01 DOI:10.1177/11779322251410083
Keshava Ks, Faten Qais Ibraheem, Shankar Thapa, Somashekhar M Metri, Sadik Shaik, Santosh Prasad Chaudhary Kurmi, Abhishek Chowdhury, Vipin Kumar Mishra, Pramila T
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引用次数: 0

Abstract

Proviral Integration site for Moloney murine leukemia virus-1 (PIM-1) kinase, a serine/threonine kinase overexpressed in various malignancies, plays a critical role in promoting cell survival and proliferation, making it a promising target for anticancer therapy. This study employed an integrated in silico approach to evaluate Lepiotaprocerin derivatives (A to L) from Macrolepiota procera as potential PIM-1 inhibitors. Molecular docking of 12 Lepiotaprocerins revealed Lepiotaprocerin C as the most potent compound, exhibiting superior binding affinity (-11.4 kcal/mol) compared with the reference inhibitor AZD1208. Binding site validation using CASTp, PrankWeb, and blind docking confirmed the ATP-binding pocket as the active cavity. The Lepiotaprocerin C-PIM-1 complex demonstrated enhanced stability during 200 ns molecular dynamics simulations, maintaining low RMSD and strong hydrogen-bond interactions, supported by a favorable Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA) binding free energy (-22.0 ± 2.1 kcal/mol). Based on quantitative structure activity relationship (QSAR) analysis, the calculated pIC50 value of Lepiotaprocerin C was 8.67. QSAR modeling (R 2 = .74, Q 2 = 0.90) confirmed robust predictive capacity, while absorption, distribution, metabolism, and elimination and PerMM analysis indicated favorable pharmacokinetic and permeability profiles. Prediction of Activity Spectra for Substances and toxicity predictions further revealed high antineoplastic potential (Pa = 0.881) and a nontoxic safety profile. These results highlight Lepiotaprocerin C as a promising, stable, and safe inhibitor of PIM-1 kinase, warranting further in vitro and in vivo validation for potential anticancer drug development.

Lepiotaprocerin C作为一种有前途的PIM-1激酶抑制剂的硅鉴定:集成对接,分子动力学,MM/PBSA, QSAR和ADMET研究。
Moloney小鼠白血病病毒-1激酶(PIM-1)的前病毒整合位点是一种在多种恶性肿瘤中过表达的丝氨酸/苏氨酸激酶,在促进细胞存活和增殖中起着关键作用,使其成为抗癌治疗的一个有希望的靶点。本研究采用集成的计算机方法评价了从巨厚皮藻(Macrolepiota procera)中提取的Lepiotaprocerin衍生物(A至L)作为潜在的PIM-1抑制剂。12种Lepiotaprocerin的分子对接表明,Lepiotaprocerin C是最有效的化合物,与参比抑制剂AZD1208相比,具有更高的结合亲和力(-11.4 kcal/mol)。利用CASTp、PrankWeb和盲对接对结合位点进行验证,确认atp结合袋为活性空腔。Lepiotaprocerin C-PIM-1配合物在200 ns的分子动力学模拟中表现出更高的稳定性,保持了较低的RMSD和强的氢键相互作用,并具有良好的分子力学/泊松-玻尔兹曼表面积(MM/PBSA)结合自由能(-22.0±2.1 kcal/mol)。基于定量构效关系(QSAR)分析,计算出Lepiotaprocerin C的pIC50值为8.67。QSAR建模(r2 =。74, q2 = 0.90)证实了强大的预测能力,而吸收、分布、代谢和消除和PerMM分析显示了良好的药代动力学和通透性。物质活性谱预测和毒性预测进一步显示了高抗肿瘤潜力(Pa = 0.881)和无毒安全性。这些结果表明,Lepiotaprocerin C是一种有前途的、稳定的、安全的PIM-1激酶抑制剂,需要进一步的体外和体内验证,以开发潜在的抗癌药物。
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
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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