{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Xiong D"],"pubmed_abstract":["Human genome sequencing studies have identified numerous loci associated with complex diseases. However, translating human genetic and genomic findings to disease pathobiology and therapeutic discovery remains a major challenge at multiscale interactome network levels. Here, we present a deep-learning-based ensemble framework, termed PIONEER (<b>P</b>rotein-protein <b>I</b>nteracti<b>O</b>n i<b>N</b>t<b>E</b>rfac<b>E</b> p<b>R</b>ediction), that accurately predicts protein binding partner-specific interfaces for all protein interactions in humans and seven other common model organisms. We demonstrate that PIONEER outperforms existing state-of-the-art methods. We further systematically validated PIONEER predictions experimentally through generating 2,395 mutations and testing their impact o"],"journal":["bioRxiv : the preprint server for biology"],"pagination":["2023.04.24.538110"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10168245"],"repository":["biostudies-literature"],"pubmed_title":["3D structural human interactome reveals proteome-wide perturbations by disease mutations."],"pmcid":["PMC10168245"],"pubmed_authors":["Liang S","Gupta S","Cheng F","Lu W","Kang JJ","Loscalzo J","Zhou Y","Lee D","Yu H","Qiu Y","Xiong D","Zhao J","Eng C"],"additional_accession":[]},"is_claimable":false,"name":"3D structural human interactome reveals proteome-wide perturbations by disease mutations.","description":"Human genome sequencing studies have identified numerous loci associated with complex diseases. However, translating human genetic and genomic findings to disease pathobiology and therapeutic discovery remains a major challenge at multiscale interactome network levels. Here, we present a deep-learning-based ensemble framework, termed PIONEER (<b>P</b>rotein-protein <b>I</b>nteracti<b>O</b>n i<b>N</b>t<b>E</b>rfac<b>E</b> p<b>R</b>ediction), that accurately predicts protein binding partner-specific interfaces for all protein interactions in humans and seven other common model organisms. We demonstrate that PIONEER outperforms existing state-of-the-art methods. We further systematically validated PIONEER predictions experimentally through generating 2,395 mutations and testing their impact o","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Apr","modification":"2025-04-04T10:19:53.686Z","creation":"2025-02-19T00:12:26.644Z"},"accession":"S-EPMC10168245","cross_references":{"pubmed":["37162909"],"doi":["10.1101/2023.04.24.538110"]}}