Domain-based prediction of the human isoform interactome provides insights into the functional impact of alternative splicing.

Article English OPEN
Ghadie, Mohamed Ali; Lambourne, Luke; Vidal, Marc; Xia, Yu;
(2017)
  • Publisher: Public Library of Science (PLoS)
  • Journal: PLoS Computational Biology,volume 13,issue 8 (issn: 1553-734X, eissn: 1553-7358)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1371/journal.pcbi.1005717., doi: 10.1371/journal.pcbi.1005717, pmc: PMC5591010
  • Subject: Computational Biology | Research Article | Protein Interaction Networks | Mathematics | Apoptosis | Mathematical and Statistical Techniques | RNA processing | Cell Processes | Protein Interactions | Genetics | Physical Sciences | Proteins | Genome Analysis | Genomics | Statistics (Mathematics) | Biology and life sciences | Computer and Information Sciences | Proteomics | Alternative Splicing | RNA | Cell Death | Forecasting | Research and Analysis Methods | Nucleic acids | Protein Domains | Gene Ontologies | Protein-Protein Interactions | QH301-705.5 | Cell Biology | Biochemistry | Network Analysis | Gene expression | Statistical Methods | Biology (General)

Author summary Protein-protein interaction networks have been extensively used in systems biology to study the role of proteins in cell function and disease. However, current network biology studies typically assume that one gene encodes one protein isoform, ignoring th... View more