biostudies-literatureHuang YGuangdong Basic and Applied Basic Research Foundation742https://www.ebi.ac.uk/biostudies/studies/S-EPMC12292072biostudies-literatureUnknown14(7)The TRIM CIV subfamily, distinguished by its C-terminal PRY-SPRY domains, constitutes nearly half of the human TRIM family and plays pivotal roles in cancer progression through ubiquitination. Identifying TRIM CIV substrates and interactors has emerged as a critical approach for elucidating tumorigenesis. Current protein-protein interaction (PPI) prediction models face challenges, including an inherent deficiency of negative datasets, biased feature integration, and the absence of a cancer-specific interaction context. To achieve the precise identification of TRIMCIV targets, we developed TRIMCIVtargeter with predictive models that systematically integrates multi-dimensional PPI features-expression differences and correlations in specific cancer, comparable protein-docking scores, and cancBiologyA TRIM Family-Based Strategy for TRIMCIV Target Prediction in a Pan-Cancer Context with Multi-Omics Data and Protein Docking Integration.PMC122920722023A1515011221Liu XHuang YLiang JLuo YGao XXuan JLiu WfalseA TRIM Family-Based Strategy for TRIMCIV Target Prediction in a Pan-Cancer Context with Multi-Omics Data and Protein Docking Integration.The TRIM CIV subfamily, distinguished by its C-terminal PRY-SPRY domains, constitutes nearly half of the human TRIM family and plays pivotal roles in cancer progression through ubiquitination. Identifying TRIM CIV substrates and interactors has emerged as a critical approach for elucidating tumorigenesis. Current protein-protein interaction (PPI) prediction models face challenges, including an inherent deficiency of negative datasets, biased feature integration, and the absence of a cancer-specific interaction context. To achieve the precise identification of TRIMCIV targets, we developed TRIMCIVtargeter with predictive models that systematically integrates multi-dimensional PPI features-expression differences and correlations in specific cancer, comparable protein-docking scores, and canc2025-01-01T00:00:00Z2025 Jun2026-07-04T03:17:53.493Z2025-08-28T03:09:19.858ZS-EPMC122920724072330310.3390/biology14070742