{"title":"酵母蛋白-蛋白相互作用网络中界面重叠与功能分化的关系","authors":"Yilun Han, Mohamed Ghadie, Yu Xia","doi":"10.1016/j.str.2025.08.019","DOIUrl":null,"url":null,"abstract":"Protein-protein interactions (PPIs) and genetic interactions are central to cellular function. We investigate their relationship in the structurally resolved yeast PPI network, specifically the relationship between PPI structural divergence and functional divergence. For pairs of proteins (“interactor pairs”) binding to the same target protein, we measure PPI structural divergence using interfacial overlap (the number of interfacial residues in the target protein shared between the interactor pair), and functional divergence using genetic interaction profile similarity. We find a significant and robust negative correlation between interfacial overlap and genetic interaction profile similarity, where interactor pairs with large shared interface on the target protein tend to perform divergent phenotypic-level functions. This relationship is the strongest when functional similarity is measured by genetic interaction profile similarity, rather than by gene ontology-based functional similarity. Our findings suggest that competitive binding drives functional divergence of proteins at the phenotypic level.","PeriodicalId":22168,"journal":{"name":"Structure","volume":"64 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The relationship between interfacial overlap and functional divergence in the yeast protein-protein interaction network\",\"authors\":\"Yilun Han, Mohamed Ghadie, Yu Xia\",\"doi\":\"10.1016/j.str.2025.08.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Protein-protein interactions (PPIs) and genetic interactions are central to cellular function. We investigate their relationship in the structurally resolved yeast PPI network, specifically the relationship between PPI structural divergence and functional divergence. For pairs of proteins (“interactor pairs”) binding to the same target protein, we measure PPI structural divergence using interfacial overlap (the number of interfacial residues in the target protein shared between the interactor pair), and functional divergence using genetic interaction profile similarity. We find a significant and robust negative correlation between interfacial overlap and genetic interaction profile similarity, where interactor pairs with large shared interface on the target protein tend to perform divergent phenotypic-level functions. This relationship is the strongest when functional similarity is measured by genetic interaction profile similarity, rather than by gene ontology-based functional similarity. Our findings suggest that competitive binding drives functional divergence of proteins at the phenotypic level.\",\"PeriodicalId\":22168,\"journal\":{\"name\":\"Structure\",\"volume\":\"64 1\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Structure\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.str.2025.08.019\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structure","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.str.2025.08.019","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
The relationship between interfacial overlap and functional divergence in the yeast protein-protein interaction network
Protein-protein interactions (PPIs) and genetic interactions are central to cellular function. We investigate their relationship in the structurally resolved yeast PPI network, specifically the relationship between PPI structural divergence and functional divergence. For pairs of proteins (“interactor pairs”) binding to the same target protein, we measure PPI structural divergence using interfacial overlap (the number of interfacial residues in the target protein shared between the interactor pair), and functional divergence using genetic interaction profile similarity. We find a significant and robust negative correlation between interfacial overlap and genetic interaction profile similarity, where interactor pairs with large shared interface on the target protein tend to perform divergent phenotypic-level functions. This relationship is the strongest when functional similarity is measured by genetic interaction profile similarity, rather than by gene ontology-based functional similarity. Our findings suggest that competitive binding drives functional divergence of proteins at the phenotypic level.
期刊介绍:
Structure aims to publish papers of exceptional interest in the field of structural biology. The journal strives to be essential reading for structural biologists, as well as biologists and biochemists that are interested in macromolecular structure and function. Structure strongly encourages the submission of manuscripts that present structural and molecular insights into biological function and mechanism. Other reports that address fundamental questions in structural biology, such as structure-based examinations of protein evolution, folding, and/or design, will also be considered. We will consider the application of any method, experimental or computational, at high or low resolution, to conduct structural investigations, as long as the method is appropriate for the biological, functional, and mechanistic question(s) being addressed. Likewise, reports describing single-molecule analysis of biological mechanisms are welcome.
In general, the editors encourage submission of experimental structural studies that are enriched by an analysis of structure-activity relationships and will not consider studies that solely report structural information unless the structure or analysis is of exceptional and broad interest. Studies reporting only homology models, de novo models, or molecular dynamics simulations are also discouraged unless the models are informed by or validated by novel experimental data; rationalization of a large body of existing experimental evidence and making testable predictions based on a model or simulation is often not considered sufficient.