肌生长抑制素激活途径的探索:治疗肌肉萎缩的一个有希望的靶点。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Daniel B. Quintanilha,  and , Hélio F. Dos Santos*, 
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引用次数: 0

摘要

肌生长抑制素是骨骼肌中发现的一种肌肉生长因子,对肌肉生长起负调节作用。这种蛋白水平升高与肌肉萎缩有关,使其成为肌肉再生治疗的一个有希望的靶点,特别是在肌肉萎缩症中。在这项研究中,我们研究了参与肌肉生长抑制素激活的分子相互作用,以建立一个基于肽的抑制剂模型。我们的模拟与实验数据一致,确定肌肉生长抑制素前体的前臂区域对于维持其非活性状态至关重要。关键残基,如Ile和Leu,在稳定这种相互作用中起主要作用。基于这些发现,我们提出了一个基于肽的药物模型,识别必要的残基和可变位点,以增强抑制。此外,我们确定了一个以前未报道的目标位点出现在肌生长抑制素激活的最后一步。用小分子靶向这一位点可以提供防止肌肉生长抑制素活性和促进肌肉生长的新策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring the Myostatin Activation Pathway: A Promising Target for Treating Muscle Atrophy

Exploring the Myostatin Activation Pathway: A Promising Target for Treating Muscle Atrophy

Myostatin is a myokine found in skeletal muscle that acts as a negative regulator of muscle growth. Elevated levels of this protein are linked to muscle atrophy, making it a promising target for therapies aimed at muscle regeneration, particularly in muscular dystrophies. In this study, we investigate the molecular interactions involved in myostatin activation to develop a model for peptide-based inhibitors. Our simulations align with experimental data, identifying the forearm domain of the myostatin precursor as being essential for maintaining its inactive state. Key residues, such as Ile and Leu, play a primary role in stabilizing this interaction. Based on these findings, we propose a peptide-based drug model identifying essential residues and mutable sites to enhance inhibition. Additionally, we identified a previously unreported target site emerging during the final step of myostatin activation. Targeting this site with small molecules could offer a new strategy for preventing myostatin activity and promoting muscle growth.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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