A comprehensive high-throughput screening approach for discovering inhibitors targeting the menin-MLL1 interaction.

3区 生物学 Q1 Biochemistry, Genetics and Molecular Biology
Tamizhini Loganathan, George Priya Doss C
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引用次数: 0

Abstract

The prognosis for mixed-lineage leukemia (MLL), particularly in young children, remains a significant health concern due to the limited therapeutic options available. MLL refers to KMT2A chromosomal translocations that produce MLL fusion proteins. The protein menin, which is essential for the malignant potential of these MLL fusion proteins, offers novel targets for acute leukemia treatment. This study reports the identification of potential new inhibitors of MLL-mediated leukemia targeting menin through the screening of two distinct drug libraries and existing inhibitors. The 3D structure of the protein was retrieved from the Protein Data Bank (ID: 8IG0). The drug libraries, sourced from public repositories such as the 'Epigenetic Drug Library' and 'The FDA-anticancer Drug Library,' yielded top candidates like Tozaseritib and Panobinostat, which exhibited the highest binding energy scores in the Glide virtual screening module. Additionally, 31 known menin-MLL1 inhibitors were identified through PDB screening and subsequently docked with the menin protein. The top three inhibitors (M-525, M-808, and MI-89) were selected for further analysis. Five menin-ligand complexes were validated using molecular dynamics analysis and Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) calculations to verify the stability and binding mechanisms.These findings provide insights into the molecular mechanisms of these drugs and lay the groundwork for future clinical development aimed at improving outcomes for acute myeloid leukemia (AML) patients.

一种全面的高通量筛选方法用于发现针对menin-MLL1相互作用的抑制剂。
由于可用的治疗选择有限,混合谱系白血病(MLL)的预后,特别是在幼儿中,仍然是一个重大的健康问题。MLL是指产生MLL融合蛋白的KMT2A染色体易位。对于这些MLL融合蛋白的恶性潜能至关重要的蛋白menin为急性白血病治疗提供了新的靶点。本研究报告通过筛选两种不同的药物库和现有抑制剂,鉴定了mll介导的靶向menin的白血病的潜在新抑制剂。蛋白质的三维结构从蛋白质数据库(ID: 8IG0)中检索。这些药物库来自“表观遗传药物库”和“fda -抗癌药物库”等公共资源库,产生了Tozaseritib和Panobinostat等顶级候选药物,它们在Glide虚拟筛选模块中表现出最高的结合能分数。此外,通过PDB筛选确定了31种已知的menin- mll1抑制剂,并随后与menin蛋白对接。选择前三种抑制剂(M-525, M-808和MI-89)进行进一步分析。通过分子动力学分析和分子力学泊松-玻尔兹曼表面积(MM-PBSA)计算验证了5种氨基配体配合物的稳定性和结合机制。这些发现为这些药物的分子机制提供了见解,并为未来的临床开发奠定了基础,旨在改善急性髓性白血病(AML)患者的预后。
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
Advances in protein chemistry and structural biology
Advances in protein chemistry and structural biology BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
7.40
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Published continuously since 1944, The Advances in Protein Chemistry and Structural Biology series has been the essential resource for protein chemists. Each volume brings forth new information about protocols and analysis of proteins. Each thematically organized volume is guest edited by leading experts in a broad range of protein-related topics.
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