靶向G蛋白偶联受体的状态特异性肽设计。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Yang Xue, Hong Wang, Jun Li, Jianguo Hu, Zhiyuan Chen, Zhi Zheng, Lihang Liu, Kunrui Zhu, Jingzhou He, Huanzhang Gong, Xiangqun Li, Xiaonan Zhang, Xiaomin Fang
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引用次数: 0

摘要

G蛋白偶联受体(gpcr)在多种生理过程中发挥着重要作用,是药物发现的关键靶点。多肽是特别引人注目的靶向gpcr的治疗剂,因为与小分子药物相比,它们经常表现出更好的亲和力、选择性和效力。然而,gpcr的状态(活性和非活性)深刻地影响着它们与配体的相互作用,这突出了在肽设计中需要针对状态的策略。为了解决这个问题,我们开发了一种高效的,针对gpcr的状态特异性肽设计管道。该框架能够根据GPCR结构的活性或非活性构象状态定制激动剂或拮抗剂的设计。一个针对gpcr -肽复合物优化的状态特异性折叠模型被用于从设计的候选肽池中选择高电位肽。利用这种方法,我们成功地鉴定了Apelin受体(APJR)和生长激素促分泌受体(GHSR)的激动剂和拮抗剂肽,以及胰高血糖素样肽-1受体(GLP-1R)的竞争性抑制剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

State-Specific Peptide Design Targeting G Protein-Coupled Receptors.

State-Specific Peptide Design Targeting G Protein-Coupled Receptors.

G protein-coupled receptors (GPCRs) play critical roles in various physiological processes and serve as pivotal targets for drug discovery. Peptides are particularly compelling therapeutic agents for targeting GPCRs as they frequently exhibit superior affinity, selectivity, and potency compared with small-molecule drugs. However, the states (active and inactive) of GPCRs profoundly influence their interactions with ligands, highlighting the need for state-specific strategies in peptide design. To address this, we developed an efficient, state-specific peptide design pipeline targeting GPCRs. This framework enables the tailored design of agonists or antagonists based on the active or inactive conformational states of GPCR structures. A state-specific folding model optimized for GPCR-peptide complexes was used to select high-potential peptides from the pool of designed candidates. Using this approach, we successfully identified both agonist and antagonist peptides for the Apelin Receptor (APJR) and the Growth Hormone Secretagogue Receptor (GHSR) as well as a competitive inhibitor for the Glucagon-Like Peptide-1 Receptor (GLP-1R).

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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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