[slides and audio] An empirical framework for binary interactome mapping

This paper presents an empirical framework for mapping the human protein-protein interactome, aiming to rigorously assess the quality and coverage of existing datasets. The authors developed a framework that considers four key parameters: screening completeness, assay sensitivity, sampling sensitivity, and precision. They used high-throughput yeast two-hybrid (HT-Y2H) experiments and mammalian protein-protein interaction trap assays (MAPPIT) to estimate these parameters. The results indicate that HT-Y2H interactions for human are more precise than literature-curated interactions supported by a single publication, suggesting that HT-Y2H is suitable for mapping a significant portion of the human interactome. The authors estimate that the human interactome contains approximately 130,000 binary interactions, with most of these interactions yet to be mapped. The framework provides a quantitative roadmap for designing future interactome mapping projects, highlighting the magnitude of the task and potential roadblocks.This paper presents an empirical framework for mapping the human protein-protein interactome, aiming to rigorously assess the quality and coverage of existing datasets. The authors developed a framework that considers four key parameters: screening completeness, assay sensitivity, sampling sensitivity, and precision. They used high-throughput yeast two-hybrid (HT-Y2H) experiments and mammalian protein-protein interaction trap assays (MAPPIT) to estimate these parameters. The results indicate that HT-Y2H interactions for human are more precise than literature-curated interactions supported by a single publication, suggesting that HT-Y2H is suitable for mapping a significant portion of the human interactome. The authors estimate that the human interactome contains approximately 130,000 binary interactions, with most of these interactions yet to be mapped. The framework provides a quantitative roadmap for designing future interactome mapping projects, highlighting the magnitude of the task and potential roadblocks.