Novel computational and drug design strategies for the inhibition of human T-cell leukemia virus 1-associated lymphoma by Astilbin derivatives.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shopnil Akash, Sajjat Mahmood, Rashel Ahamed, Imren Bayıl, Rahul Dev Bairagi, Md Rezaul Islam, Md Eram Hosen, Gabriela de Lima Menezes, Khalid S Almaary, Hiba-Allah Nafidi, Mohammed Bourhia, Lahcen Ouahmane
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引用次数: 0

Abstract

Human T-cell leukemia virus 1 (HTLV-1) associated lymphoma is a devastating malignancy triggered by HTLV-1 infections. We employeda comprehensive drug design and computational strategy in this work to explore the inhibitory activitiesof Astilbin derivatives against HTLV-1-associated lymphoma. We evaluated the stability, binding affinities, and various computational analysis of Astilbin derivatives against target proteins, such as HTLV-1 main protease and HTLV-1 capsid protein. The root mean square deviation (RMSD), root mean square fluctuation, radius of gyration, hydrogen bond analysis, principal component analysis (PCA) and dynamic cross-correlation matrix (DCCM) were applied to characterize these protein-ligand interactions further. Ligand-03 and ligand-04 exhibited notable binding affinity to HTLV-1 capsid protein, while ligand-05 displayed high binding affinity to HTLV-1 protease. MD simulation analysis revealed that ligand-03, bound to HTLV-1 capsid protein, demonstrated enhanced stability with lower RMSD values and fewer conformational changes, suggesting a promising binding orientation. Ligand-04, despite stable binding, exhibited increased structural deviations, making it less suitable. Ligand-05 demonstrated stable binding to HTLV-1 protease throughout the simulation period at 100 nanoseconds. Hydrogen bond analysis indicated that ligand-05 formed persistent hydrogen bonds with significantresidues, contributing to its stability. PCA highlighted ligand-03's more remarkable conformational changes, while DCCM showed ligand-05's distinct dynamics, indicating its different behavior in the complex. Furthermore, binding free energy calculations supported the favorable interactions of ligand-03 and ligand-04 with HTLV-1 capsid protein, while ligand-05 showed weaker interactions with HTLV-1 protease. Molecular electrostatic potential and frontier molecular orbital analyses provided insights into these compounds' charge distribution and stability. In conclusion, this research found Astilbin derivatives as potential inhibitors of HTLV-1-associated lymphoma. Future attempts at drug development will benefit from the steady interaction landscape provided by Ligand-03, Ligand-04 and Ligand-05, which showed the most attractive binding profile with the target protein. These results open up new opportunities for innovative drug development, and more experimental testing should be done between Astilbin derivatives and HTLV-1-associated lymphoma.

阿斯替宾衍生物抑制人类 T 细胞白血病病毒 1 相关淋巴瘤的新型计算和药物设计策略。
人类 T 细胞白血病病毒 1(HTLV-1)相关淋巴瘤是由 HTLV-1 感染引发的一种破坏性恶性肿瘤。在这项工作中,我们采用了全面的药物设计和计算策略,以探索 Astilbin 衍生物对 HTLV-1 相关淋巴瘤的抑制活性。我们评估了 Astilbin 衍生物对 HTLV-1 主蛋白酶和 HTLV-1 荚膜蛋白等靶蛋白的稳定性、结合亲和力以及各种计算分析。应用均方根偏差(RMSD)、均方根波动、回转半径、氢键分析、主成分分析(PCA)和动态交叉相关矩阵(DCCM)进一步描述了这些蛋白质-配体相互作用的特征。配体-03 和配体-04 与 HTLV-1 荚膜蛋白有显著的结合亲和力,而配体-05 与 HTLV-1 蛋白酶有很高的结合亲和力。MD 模拟分析表明,配体-03 与 HTLV-1 包囊蛋白结合后,稳定性增强,RMSD 值降低,构象变化减少,表明其结合方向很有希望。配体-04虽然结合稳定,但结构偏差增大,因此不太适合。配体-05 在 100 纳秒的整个模拟期间都表现出与 HTLV-1 蛋白酶的稳定结合。氢键分析表明,配体-05 与重要的残基形成了持久的氢键,从而提高了其稳定性。PCA 突出了配体-03 更显著的构象变化,而 DCCM 则显示了配体-05 的独特动态,表明其在复合物中的不同行为。此外,结合自由能计算支持配体-03 和配体-04 与 HTLV-1 包囊蛋白的有利相互作用,而配体-05 与 HTLV-1 蛋白酶的相互作用较弱。分子静电位和前沿分子轨道分析有助于深入了解这些化合物的电荷分布和稳定性。总之,这项研究发现 Astilbin 衍生物是 HTLV-1 相关淋巴瘤的潜在抑制剂。配体-03、配体-04 和配体-05 提供了稳定的相互作用图谱,这些配体与靶蛋白的结合图谱最具吸引力,未来的药物开发尝试将从中受益。这些结果为创新药物开发开辟了新的机遇,应在 Astilbin 衍生物与 HTLV-1 相关淋巴瘤之间进行更多的实验测试。
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
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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