{"title":"Cracking the code of cellular protein-protein interactions: Alphafold and whole-cell crosslinking to the rescue.","authors":"Toni Träger, Panagiotis L Kastritis","doi":"10.15252/msb.202311587","DOIUrl":null,"url":null,"abstract":"<p><p>Integration of experimental and computational methods is crucial to better understanding protein-protein interactions (PPIs), ideally in their cellular context. In their recent work, Rappsilber and colleagues (O'Reilly et al, 2023) identified bacterial PPIs using an array of approaches. They combined whole-cell crosslinking, co-fractionation mass spectrometry, and open-source data mining with artificial intelligence (AI)-based structure prediction of PPIs in the well-studied organism Bacillus subtilis. This innovative approach reveals architectural knowledge for in-cell PPIs that are often lost upon cell lysis, making it applicable to genetically intractable organisms such as pathogenic bacteria.</p>","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":null,"pages":null},"PeriodicalIF":8.5000,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090940/pdf/","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Systems Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.15252/msb.202311587","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
Integration of experimental and computational methods is crucial to better understanding protein-protein interactions (PPIs), ideally in their cellular context. In their recent work, Rappsilber and colleagues (O'Reilly et al, 2023) identified bacterial PPIs using an array of approaches. They combined whole-cell crosslinking, co-fractionation mass spectrometry, and open-source data mining with artificial intelligence (AI)-based structure prediction of PPIs in the well-studied organism Bacillus subtilis. This innovative approach reveals architectural knowledge for in-cell PPIs that are often lost upon cell lysis, making it applicable to genetically intractable organisms such as pathogenic bacteria.
实验和计算方法的整合对于更好地理解蛋白质-蛋白质相互作用(ppi)至关重要,理想情况下是在它们的细胞背景下。在他们最近的工作中,Rappsilber及其同事(O'Reilly et al, 2023)使用一系列方法确定了细菌PPIs。他们将全细胞交联、共分离质谱和开源数据挖掘与基于人工智能(AI)的PPIs结构预测相结合,预测了被充分研究的枯草芽孢杆菌中的PPIs。这种创新的方法揭示了细胞内ppi的结构知识,这些知识通常在细胞裂解时丢失,使其适用于遗传上难以处理的生物,如致病菌。
期刊介绍:
Systems biology is a field that aims to understand complex biological systems by studying their components and how they interact. It is an integrative discipline that seeks to explain the properties and behavior of these systems.
Molecular Systems Biology is a scholarly journal that publishes top-notch research in the areas of systems biology, synthetic biology, and systems medicine. It is an open access journal, meaning that its content is freely available to readers, and it is peer-reviewed to ensure the quality of the published work.