{"title":"GID4 Recognition of Pro/N-Degron Peptides: Conformational Selection and Induced Fit.","authors":"Yanjun Zhang,Xule Zhao,Yuxin Tian,Shun Zhang,Feng Fan,Xiafei Hao","doi":"10.1016/j.bpj.2025.05.016","DOIUrl":null,"url":null,"abstract":"The N-degron pathway is essential for protein quality control and cellular homeostasis. GID4, a subunit of the GID ubiquitin ligase, is the main recognition component of the Pro/N-degron pathway. It binds protein substrates through their N-terminal proline, but its binding model and recognition of non-proline residues remain unclear. In this study, we performed molecular dynamics (MD) simulations and binding energy calculations to explore GID4's binding with Pro/N-degron peptides and non-proline residues. Our analysis revealed that in its apo state, GID4's hairpin loops (L1, L2, L3, L4) facilitate alternating open-closed states in the binding pocket. This conformational change allows selective recognition of proteins with N-terminal degradation signals, followed by loop adaptation that secures the substrate. The binding process follows a combined mechanism of conformational selection and induced fit. Mutation of the N-terminal proline reduces its binding contribution but has minimal impact on interactions with other residues. These findings provide new insights into GID4's substrate recognition mechanisms, potentially aiding the regulation of protein degradation pathways.","PeriodicalId":8922,"journal":{"name":"Biophysical journal","volume":"47 1","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophysical journal","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.bpj.2025.05.016","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
The N-degron pathway is essential for protein quality control and cellular homeostasis. GID4, a subunit of the GID ubiquitin ligase, is the main recognition component of the Pro/N-degron pathway. It binds protein substrates through their N-terminal proline, but its binding model and recognition of non-proline residues remain unclear. In this study, we performed molecular dynamics (MD) simulations and binding energy calculations to explore GID4's binding with Pro/N-degron peptides and non-proline residues. Our analysis revealed that in its apo state, GID4's hairpin loops (L1, L2, L3, L4) facilitate alternating open-closed states in the binding pocket. This conformational change allows selective recognition of proteins with N-terminal degradation signals, followed by loop adaptation that secures the substrate. The binding process follows a combined mechanism of conformational selection and induced fit. Mutation of the N-terminal proline reduces its binding contribution but has minimal impact on interactions with other residues. These findings provide new insights into GID4's substrate recognition mechanisms, potentially aiding the regulation of protein degradation pathways.
期刊介绍:
BJ publishes original articles, letters, and perspectives on important problems in modern biophysics. The papers should be written so as to be of interest to a broad community of biophysicists. BJ welcomes experimental studies that employ quantitative physical approaches for the study of biological systems, including or spanning scales from molecule to whole organism. Experimental studies of a purely descriptive or phenomenological nature, with no theoretical or mechanistic underpinning, are not appropriate for publication in BJ. Theoretical studies should offer new insights into the understanding ofexperimental results or suggest new experimentally testable hypotheses. Articles reporting significant methodological or technological advances, which have potential to open new areas of biophysical investigation, are also suitable for publication in BJ. Papers describing improvements in accuracy or speed of existing methods or extra detail within methods described previously are not suitable for BJ.