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DOI 10.1113/jp284616

Медицинская библиотека · The Journal of physiology · 2023

Benchmarking of protein interaction databases for integration with manually reconstructed signalling network models.

Van de Graaf Matthew W, Eggertsen Taylor G, Zeigler Angela C, Tan Philip M, Saucerman Jeffrey J

СтатьяПоддержка NIH: внешняя программаПеревод пока не подготовлен

Аннотация

Protein interaction databases are critical resources for network bioinformatics and integrating molecular experimental data. Interaction databases may also enable construction of predictive computational models of biological networks, although their fidelity for this purpose is not clear. Here, we benchmark protein interaction databases X2K, Reactome, Pathway Commons, Omnipath and Signor for their ability to recover manually curated edges from three logic-based network models of cardiac hypertrophy, mechano-signalling and fibrosis. Pathway Commons performed best at recovering interactions from manually reconstructed hypertrophy (137 of 193 interactions, 71%), mechano-signalling (85 of 125 interactions, 68%) and fibroblast networks (98 of 142 interactions, 69%). While protein interaction databases successfully recovered central, well-conserved pathways, they performed worse at recovering tissue-specific and transcriptional regulation. This highlights a knowledge gap where manual curation is critical. Finally, we tested the ability of Signor and Pathway Commons to identify new edges that improve model predictions, revealing important roles of protein kinase C autophosphorylation and Ca2+/calmodulin-dependent protein kinase II phosphorylation of CREB in cardiomyocyte hypertrophy. This study provides a platform for benchmarking protein interaction databases for their utility in network model construction, as well as providing new insights into cardiac hypertrophy signalling. KEY POINTS: Protein interaction databases are used to recover signalling interactions from previously developed network models. The five protein interaction databases benchmarked recovered well-conserved pathways, but did poorly at recovering tissue-specific pathways and transcriptional regulation, indicating the importance of manual curation. We identify new signalling interactions not previously used in the network models, including a role for Ca2+/calmodulin-dependent protein kinase II phosphorylation of CREB in cardiomyocyte hypertrophy.

Для цитирования: Van de Graaf Matthew W, Eggertsen Taylor G, Zeigler Angela C, Tan Philip M, Saucerman Jeffrey J. Benchmarking of protein interaction databases for integration with manually reconstructed signalling network models.. The Journal of physiology. 2023. DOI: 10.1113/jp284616.

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