AI構築「エクソスケルトン」によるGPCRシグナル制御の新手法(AI-built “exoskeletons” offer a new way to steer GPCR signaling)

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2026-02-27 浙江大学(ZJU)

浙江大学医学院と良渚実験室、同大学計算機科学技術学院の研究チームは、GPCR(G protein–coupled receptor/Gタンパク質共役受容体)の膜貫通面に人工設計タンパク質を結合させ機能を制御する新手法「GEM(GPCR Exoframe Modulators)」を開発した。従来の正統的結合部位を標的とする創薬と異なり、受容体外側に“外骨格”を装着して構造変化を拘束し、活性化・抑制・経路バイアス化を実現する。拡散モデルなどAI設計と構造プロンプト法を組み合わせ、クライオ電顕で原子レベル精度を検証。変異による機能低下型GPCRの回復にも成功し、パーキンソン病など難治性疾患への新たな治療戦略と、膜タンパク質機能設計の基盤を示した。

AI構築「エクソスケルトン」によるGPCRシグナル制御の新手法(AI-built “exoskeletons” offer a new way to steer GPCR signaling)
De novo Design of GEM.

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GPCRエクソフレームモジュレーターの新規設計 De novo design of GPCR exoframe modulators

Shizhuo Cheng,Jia Guo,Yun-li Zhou,Xumei Luo,Gufang Zhang,Ya-zhi Zhang,Yixin Yang,Jiannan Xie,Ping Xu,Dan-dan Shen,Shaokun Zang,Huicui Yang,Xuechu Zhen,Min Zhang & Yan Zhang
Nature  Published:16 February 2026
DOI:https://doi.org/10.1038/s41586-025-09957-1

Abstract

G-protein-coupled receptors (GPCRs) are important therapeutic targets and have been targeted mainly through their orthosteric site, where the endogenous agonist binds1. However, allosteric modulation has emerged as a promising and innovative strategy in the realm of GPCR drug discovery1. Here, drawing inspiration from the natural regulation of GPCRs by transmembrane proteins, we have developed GPCR exoframe modulators (GEMs), de novo designed proteins that specifically target the transmembrane domain of GPCRs. Utilizing a hallucination-like design approach, we crafted GEMs with three strategic structural prompts to achieve the desired binding modes. We selected the dopamine D1 receptor as a prototypical model and systematically investigated four GEMs. Structural studies and functional assays revealed that these GEMs bind to the transmembrane domains and function as diverse allosteric modulators, including agonist-positive allosteric modulator, negative allosteric modulator and biased allosteric modulator. The ago-PAM GEM restores the activity of various D1 receptor loss-of-function mutants, suggesting a promising therapeutic target for GPCR-related disorders. Our work introduces GEMs that target the transmembrane domain as potent agents for allosteric GPCR modulation and highlights the potential of deep learning-based approaches in the design of function-oriented membrane proteins.

医療・健康
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