Design of Inhibitors That Target the Menin-Mixed-Lineage Leukemia Interaction.

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computation Pub Date : 2024-01-01 Epub Date: 2023-12-27 DOI:10.3390/computation12010003
Moses N Arthur, Kristeen Bebla, Emmanuel Broni, Carolyn Ashley, Miriam Velazquez, Xianin Hua, Ravi Radhakrishnan, Samuel K Kwofie, Whelton A Miller
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Abstract

The prognosis of mixed-lineage leukemia (MLL) has remained a significant health concern, especially for infants. The minimal treatments available for this aggressive type of leukemia has been an ongoing problem. Chromosomal translocations of the KMT2A gene are known as MLL, which expresses MLL fusion proteins. A protein called menin is an important oncogenic cofactor for these MLL fusion proteins, thus providing a new avenue for treatments against this subset of acute leukemias. In this study, we report results using the structure-based drug design (SBDD) approach to discover potential novel MLL-mediated leukemia inhibitors from natural products against menin. The three-dimensional (3D) protein model was derived from Protein Databank (Protein ID: 4GQ4), and EasyModeller 4.0 and I-TASSER were used to fix missing residues during rebuilding. Out of the ten protein models generated (five from EasyModeller and I-TASSER each), one model was selected. The selected model demonstrated the most reasonable quality and had 75.5% of residues in the most favored regions, 18.3% of residues in additionally allowed regions, 3.3% of residues in generously allowed regions, and 2.9% of residues in disallowed regions. A ligand library containing 25,131 ligands from a Chinese database was virtually screened using AutoDock Vina, in addition to three known menin inhibitors. The top 10 compounds including ZINC000103526876, ZINC000095913861, ZINC000095912705, ZINC000085530497, ZINC000095912718, ZINC000070451048, ZINC000085530488, ZINC000095912706, ZINC000103580868, and ZINC000103584057 had binding energies of -11.0, -10.7, -10.6, -10.2, -10.2, -9.9, -9.9, -9.9, -9.9, and -9.9 kcal/mol, respectively. To confirm the stability of the menin-ligand complexes and the binding mechanisms, molecular dynamics simulations including molecular mechanics Poisson-Boltzmann surface area (MM/PBSA) computations were performed. The amino acid residues that were found to be potentially crucial in ligand binding included Phe243, Met283, Cys246, Tyr281, Ala247, Ser160, Asn287, Asp185, Ser183, Tyr328, Asn249, His186, Leu182, Ile248, and Pro250. MI-2-2 and PubChem CIDs 71777742 and 36294 were shown to possess anti-menin properties; thus, this justifies a need to experimentally determine the activity of the identified compounds. The compounds identified herein were found to have good pharmacological profiles and had negligible toxicity. Additionally, these compounds were predicted as antileukemic, antineoplastic, chemopreventive, and apoptotic agents. The 10 natural compounds can be further explored as potential novel agents for the effective treatment of MLL-mediated leukemia.

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设计靶向 Menin-Mixed-Lineage 白血病相互作用的抑制剂
混合系白血病(MLL)的预后一直是一个重大的健康问题,尤其是对婴儿而言。对这种侵袭性白血病的治疗方法极少,一直是个问题。KMT2A 基因的染色体易位被称为 MLL,它能表达 MLL 融合蛋白。一种名为 Menin 的蛋白质是这些 MLL 融合蛋白的重要致癌辅助因子,从而为治疗这一急性白血病亚型提供了新的途径。在本研究中,我们报告了利用基于结构的药物设计(SBDD)方法从天然产物中发现潜在的新型 MLL 介导的白血病抑制剂的结果。三维(3D)蛋白质模型来自蛋白质数据库(Protein Databank)(蛋白质编号:4GQ4),在重建过程中使用了 EasyModeller 4.0 和 I-TASSER 来修复缺失的残基。在生成的 10 个蛋白质模型(EasyModeller 和 I-TASSER 各生成 5 个)中,选出了一个模型。所选模型的质量最为合理,75.5% 的残基位于最有利的区域,18.3% 的残基位于额外允许的区域,3.3% 的残基位于慷慨允许的区域,2.9% 的残基位于不允许的区域。除了三种已知的 menin 抑制剂外,还使用 AutoDock Vina 虚拟筛选了一个配体库,其中包含来自中文数据库的 25,131 个配体。前 10 个化合物包括 ZINC000103526876、ZINC000095913861、ZINC000095912705、ZINC000085530497、ZINC000095912718、ZINC000070451048、ZINC000085530488、ZINC000095912706、ZINC000103580868 和 ZINC000103584057,它们的结合能分别为 -11.0、-10.7、-10.6、-10.2、-10.2、-9.9、-9.9、-9.9、-9.9 和 -9.9 kcal/mol。为了证实门宁配体复合物的稳定性和结合机制,研究人员进行了分子动力学模拟,包括分子力学泊松-波尔兹曼表面积(MM/PBSA)计算。研究发现,在配体结合过程中可能起关键作用的氨基酸残基包括 Phe243、Met283、Cys246、Tyr281、Ala247、Ser160、Asn287、Asp185、Ser183、Tyr328、Asn249、His186、Leu182、Ile248 和 Pro250。MI-2-2 以及 PubChem CID 71777742 和 36294 被证明具有抗menin特性;因此,有必要通过实验确定已鉴定化合物的活性。本文鉴定的化合物具有良好的药理学特征,毒性可忽略不计。此外,这些化合物还被预测为抗白血病、抗肿瘤、化学预防和细胞凋亡剂。这 10 种天然化合物可作为有效治疗 MLL 介导的白血病的潜在新型药物进行进一步的研究。
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来源期刊
Computation
Computation Mathematics-Applied Mathematics
CiteScore
3.50
自引率
4.50%
发文量
201
审稿时长
8 weeks
期刊介绍: Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.
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