Suzuki Ko, Inoue Keitaro, Namiguchi Ryota, Morita Seiya, Hayakawa Suzuho, Yokota Mikuri, Sakai Katsuya, Matsumoto Kunio, Aoki Shunsuke
Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka 820-8502, Japan.
Division of Tumor Dynamics and Regulation, Cancer Research Institute, Kanazawa University, Kanazawa 920-1192, Japan.
Molecules. 2025 Apr 17;30(8):1801. doi: 10.3390/molecules30081801.
The development of small-molecule drugs targeting growth factors for cancer therapy remains a significant challenge, with only limited successful cases. We attempted to identify hepatocyte growth factor (HGF) inhibitors as novel anti-cancer small-molecule drugs. To identify compounds that bind to the β-chain of HGF and inhibit signaling through HGF and its receptor Met interaction, we performed a hierarchical in silico drug screen using a three-dimensional compound structure library (Chembridge, 154,118 compounds). We experimentally tested whether 10 compounds selected as candidates for novel anticancer agents exhibit inhibition of HGF activity. Compounds and potently inhibited Met phosphorylation in the human EHEMES-1 cell line, with IC values of 20.4 and 11.9 μM, respectively. Molecular dynamics simulations of the Compound /-HGF β-chain complex structures suggest that Compounds and stably bind to the interface pocket of the HGF β-chain. MM-PBSA, MM-GBSA, and FMO analyses identified crucial amino acid residues for inhibition against the HGF β-chain. By interfering with the HGF/Met interaction, these compounds may attenuate downstream signaling pathways involved in cancer cell proliferation and metastasis. Further optimization and comprehensive evaluations are necessary to advance these compounds toward clinical application in cancer therapy.
开发用于癌症治疗的靶向生长因子的小分子药物仍然是一项重大挑战,成功案例有限。我们试图鉴定肝细胞生长因子(HGF)抑制剂作为新型抗癌小分子药物。为了鉴定与HGF的β链结合并通过HGF及其受体Met相互作用抑制信号传导的化合物,我们使用三维化合物结构库(Chembridge,154,118种化合物)进行了分层计算机辅助药物筛选。我们通过实验测试了选为新型抗癌剂候选物的10种化合物是否表现出对HGF活性的抑制作用。化合物 和 有效地抑制了人EHEMES-1细胞系中的Met磷酸化,IC值分别为20.4和11.9 μM。化合物 /-HGF β链复合结构的分子动力学模拟表明,化合物 和 稳定地结合到HGF β链的界面口袋。MM-PBSA、MM-GBSA和FMO分析确定了抑制HGF β链的关键氨基酸残基。通过干扰HGF/Met相互作用,这些化合物可能减弱参与癌细胞增殖和转移的下游信号通路。为了使这些化合物推进到癌症治疗的临床应用,还需要进一步优化和全面评估。