Development of human lactate dehydrogenase a inhibitors: high-throughput screening, molecular dynamics simulation and enzyme activity assay.

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Computer-Aided Molecular Design Pub Date : 2024-08-10 DOI:10.1007/s10822-024-00568-y
Yuanyuan Shu, Jianda Yue, Yaqi Li, Yekui Yin, Jiaxu Wang, Tingting Li, Xiao He, Songping Liang, Gaihua Zhang, Zhonghua Liu, Ying Wang
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Abstract

Lactate dehydrogenase A (LDHA) is highly expressed in many tumor cells and promotes the conversion of pyruvate to lactic acid in the glucose pathway, providing energy and synthetic precursors for rapid proliferation of tumor cells. Therefore, inhibition of LDHA has become a widely concerned tumor treatment strategy. However, the research and development of highly efficient and low toxic LDHA small molecule inhibitors still faces challenges. To discover potential inhibitors against LDHA, virtual screening based on molecular docking techniques was performed from Specs database of more than 260,000 compounds and Chemdiv-smart database of more than 1,000 compounds. Through molecular dynamics (MD) simulation studies, we identified 12 potential LDHA inhibitors, all of which can stably bind to human LDHA protein and form multiple interactions with its active central residues. In order to verify the inhibitory activities of these compounds, we established an enzyme activity assay system and measured their inhibitory effects on recombinant human LDHA. The results showed that Compound 6 could inhibit the catalytic effect of LDHA on pyruvate in a dose-dependent manner with an EC50 value of 14.54 ± 0.83 µM. Further in vitro experiments showed that Compound 6 could significantly inhibit the proliferation of various tumor cell lines such as pancreatic cancer cells and lung cancer cells, reduce intracellular lactic acid content and increase intracellular reactive oxygen species (ROS) level. In summary, through virtual screening and in vitro validation, we found that Compound 6 is a small molecule inhibitor for LDHA, providing a good lead compound for the research and development of LDHA related targeted anti-tumor drugs.

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开发人乳酸脱氢酶 a 抑制剂:高通量筛选、分子动力学模拟和酶活性测定。
乳酸脱氢酶A(LDHA)在许多肿瘤细胞中高度表达,它能促进葡萄糖途径中丙酮酸向乳酸的转化,为肿瘤细胞的快速增殖提供能量和合成前体。因此,抑制 LDHA 已成为一种广受关注的肿瘤治疗策略。然而,高效低毒的 LDHA 小分子抑制剂的研发仍面临挑战。为了发现潜在的LDHA抑制剂,研究人员基于分子对接技术,从Specs数据库的26万多个化合物和Chemdiv-smart数据库的1000多个化合物中进行了虚拟筛选。通过分子动力学(MD)模拟研究,我们发现了12种潜在的LDHA抑制剂,它们都能与人LDHA蛋白稳定结合,并与其活性中心残基形成多重相互作用。为了验证这些化合物的抑制活性,我们建立了酶活性测定系统,并测定了它们对重组人 LDHA 的抑制作用。结果表明,化合物 6 能以剂量依赖的方式抑制 LDHA 对丙酮酸的催化作用,EC50 值为 14.54 ± 0.83 µM。进一步的体外实验表明,化合物 6 能显著抑制胰腺癌细胞和肺癌细胞等多种肿瘤细胞株的增殖,降低细胞内乳酸含量,提高细胞内活性氧(ROS)水平。综上所述,通过虚拟筛选和体外验证,我们发现化合物 6 是一种小分子 LDHA 抑制剂,为研究和开发与 LDHA 相关的抗肿瘤靶向药物提供了一个很好的先导化合物。
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来源期刊
Journal of Computer-Aided Molecular Design
Journal of Computer-Aided Molecular Design 生物-计算机:跨学科应用
CiteScore
8.00
自引率
8.60%
发文量
56
审稿时长
3 months
期刊介绍: The Journal of Computer-Aided Molecular Design provides a form for disseminating information on both the theory and the application of computer-based methods in the analysis and design of molecules. The scope of the journal encompasses papers which report new and original research and applications in the following areas: - theoretical chemistry; - computational chemistry; - computer and molecular graphics; - molecular modeling; - protein engineering; - drug design; - expert systems; - general structure-property relationships; - molecular dynamics; - chemical database development and usage.
期刊最新文献
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space. Computational design and experimental confirmation of a disulfide-stapled YAP helixα1-trap derived from TEAD4 helical hairpin to selectively capture YAP α1-helix with potent antitumor activity. Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors. FitScore: a fast machine learning-based score for 3D virtual screening enrichment. Development of human lactate dehydrogenase a inhibitors: high-throughput screening, molecular dynamics simulation and enzyme activity assay.
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