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用于治疗由内在无序蛋白质(IDP)引起的疾病的构象适应性治疗肽。药物发现的新范式:靶向靶点,而非靶向药物。

Conformationally adaptive therapeutic peptides for diseases caused by intrinsically disordered proteins (IDPs). New paradigm for drug discovery: Target the target, not the arrow.

作者信息

Fantini Jacques, Azzaz Fodil, Di Scala Coralie, Aulas Anaïs, Chahinian Henri, Yahi Nouara

机构信息

Aix-Marseille University, INSERM UA 16, Faculty of Medicine, 13015 Marseille, France.

Aix-Marseille University, INSERM UA 16, Faculty of Medicine, 13015 Marseille, France.

出版信息

Pharmacol Ther. 2025 Mar;267:108797. doi: 10.1016/j.pharmthera.2025.108797. Epub 2025 Jan 17.

Abstract

The traditional model of protein structure determined by the amino acid sequence is today seriously challenged by the fact that approximately half of the human proteome is made up of proteins that do not have a stable 3D structure, either partially or in totality. These proteins, called intrinsically disordered proteins (IDPs), are involved in numerous physiological functions and are associated with severe pathologies, e.g. Alzheimer, Parkinson, Creutzfeldt-Jakob, amyotrophic lateral sclerosis (ALS), and type 2 diabetes. Targeting these proteins is challenging for two reasons: i) we need to preserve their physiological functions, and ii) drug design by molecular docking is not possible due to the lack of reliable starting conditions. Faced with this challenge, the solutions proposed by artificial intelligence (AI) such as AlphaFold are clearly unsuitable. Instead, we suggest an innovative approach consisting of mimicking, in short synthetic peptides, the conformational flexibility of IDPs. These peptides, which we call adaptive peptides, are derived from the domains of IDPs that become structured after interacting with a ligand. Adaptive peptides are designed with the aim of selectively antagonizing the harmful effects of IDPs, without targeting them directly but through selected ligands, without affecting their physiological properties. This "target the target, not the arrow" strategy is promised to open a new route to drug discovery for currently undruggable proteins.

摘要

传统上由氨基酸序列决定蛋白质结构的模型如今受到了严峻挑战,因为人类蛋白质组中约有一半是由部分或完全没有稳定三维结构的蛋白质组成。这些蛋白质被称为内在无序蛋白(IDP),它们参与众多生理功能,并与严重疾病相关,例如阿尔茨海默病、帕金森病、克雅氏病、肌萎缩侧索硬化症(ALS)和2型糖尿病。针对这些蛋白质具有挑战性,原因有两个:其一,我们需要保留它们的生理功能;其二,由于缺乏可靠的起始条件,通过分子对接进行药物设计是不可能的。面对这一挑战,诸如AlphaFold等人工智能提出的解决方案显然并不适用。相反,我们提出了一种创新方法,即通过短合成肽模拟IDP的构象灵活性。这些肽我们称为适应性肽,它们源自IDP与配体相互作用后会形成结构的结构域。设计适应性肽的目的是选择性地拮抗IDP的有害影响,不是直接针对它们,而是通过选定的配体,同时不影响它们的生理特性。这种“靶向靶点,而非靶向箭头”的策略有望为目前难以成药的蛋白质开辟一条新的药物发现途径。

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