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
Abstract
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).
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.
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