Ljubič Martin, Sollner Dolenc Marija, Borišek Jure, Perdih Andrej
National Institute of Chemistry, Hajdrihova 19, 1000, Ljubljana, Slovenia.
Faculty of Pharmacy, University of Ljubljana, Aškerčeva cesta 7, 1000 Ljubljana, Slovenia.
J Chem Inf Model. 2025 Sep 22;65(18):9747-9761. doi: 10.1021/acs.jcim.5c01478. Epub 2025 Aug 31.
Water-based pharmacophore modeling is an emerging approach in inhibitor design that leverages the dynamics of explicit water molecules within ligand-free, water-filled binding sites to derive 3D pharmacophores for virtual screening. In this study, we assess the potential of this strategy through a case study targeting the ATP binding sites of Fyn and Lyn protein kinases─members of the Src family that have been less explored in anticancer drug discovery compared to other family members. Molecular dynamics simulations of multiple kinase structures were used to generate and validate several water-derived pharmacophores, which were subsequently employed to screen chemically diverse libraries of compounds. Two active compounds were identified in biochemical assays: a flavonoid-like molecule with low-micromolar inhibitory activity and a weaker inhibitor from the library of nature-inspired synthetic compounds. Structural analysis via molecular docking and simulations revealed that key predicted interactions, particularly with the hinge region and the ATP binding pocket, were retained in the bound states of these hits. However, interactions with more flexible regions, such as the N-terminal lobe and activation loop, were less consistently captured. These findings outline both the strengths and challenges of using water-based pharmacophores: while effective at modeling conserved core interactions, they may miss peripheral contacts governed by protein flexibility. Incorporating ligand information where available may help address this challenge. Overall, water-based pharmacophore modeling presents a promising ligand-independent strategy for identifying novel chemotypes and exploring undercharged chemical and conformational space in kinases as well as other therapeutically relevant targets.
基于水的药效团建模是抑制剂设计中的一种新兴方法,它利用无配体、充满水的结合位点内明确水分子的动力学来推导用于虚拟筛选的三维药效团。在本研究中,我们通过一个针对Fyn和Lyn蛋白激酶ATP结合位点的案例研究来评估这种策略的潜力,Fyn和Lyn是Src家族的成员,与其他家族成员相比,它们在抗癌药物发现中较少被探索。利用多种激酶结构的分子动力学模拟来生成和验证几种源自水的药效团,随后将其用于筛选化学性质多样的化合物库。在生化分析中鉴定出两种活性化合物:一种具有低微摩尔抑制活性的类黄酮样分子,以及一种来自受自然启发的合成化合物库的较弱抑制剂。通过分子对接和模拟进行的结构分析表明,关键的预测相互作用,特别是与铰链区和ATP结合口袋的相互作用,在这些命中化合物的结合状态中得以保留。然而,与更灵活区域(如N端叶和激活环)的相互作用捕捉得不太一致。这些发现概述了使用基于水的药效团的优势和挑战:虽然在模拟保守的核心相互作用方面有效,但它们可能会错过由蛋白质灵活性控制的外围接触。在可用时纳入配体信息可能有助于应对这一挑战。总体而言,基于水的药效团建模为识别新型化学类型以及探索激酶和其他治疗相关靶点中电荷不足的化学和构象空间提供了一种有前景的非配体依赖策略。