Abstract
Protein–protein interaction data is fundamental in molecular biology, and numerous online databases provide access to this data. However, the huge quantity, complexity, and variety of PPI data can be overwhelming, and rather than helping to address research problems, the data may add to their complexity and reduce interpretability. This protocol focuses on solutions for some of the main challenges of using PPI data, including accessing data, ensuring relevance by integrating useful annotations, and improving interpretability. While the issues are generic, we highlight how to perform such operations using Integrated Interactions Database (IID; http://ophid.utoronto.ca/iid).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Navlakha S, Kingsford C (2010) The power of protein interaction networks for associating genes with diseases. Bioinformatics 26:1057–1063
Warde-Farley D, Donaldson SL, Comes O, Zuberi K, Badrawi R, Chao P, Franz M, Grouios C, Kazi F, Lopes CT et al (2010) The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res 38:W214–W220
Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT et al (2000) Gene ontology: tool for the unification of biology. Nat Genet 25:25–29
Przulj N, Wigle DA, Jurisica I (2004) Functional topology in a network of protein interactions. Bioinformatics 20:340–348
Barabási A-L, Gulbahce N, Loscalzo J (2011) Network medicine: a network-based approach to human disease. Nat Rev Genet 12:56–68
Wachi S, Yoneda K, Wu R (2005) Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues. Bioinformatics 21:4205–4208
Kotlyar M, Pastrello C, Rossos A, Jurisica I (2018) Protein–protein interaction databases. In: Ranganathan S, Nakai K, Schönbach C and Gribskov M (eds.), Encyclopedia of Bioinformatics and Computational Biology 1:988–996. Oxford: Elsevier
Breuer K, Foroushani AK, Laird MR, Chen C, Sribnaia A, Lo R, Winsor GL, Hancock REW, Brinkman FSL, Lynn DJ (2013) InnateDB: systems biology of innate immunity and beyond—recent updates and continuing curation. Nucleic Acids Res 41:D1228–D1233
Chautard E, Fatoux-Ardore M, Ballut L, Thierry-Mieg N, Ricard-Blum S (2011) MatrixDB, the extracellular matrix interaction database. Nucleic Acids Res 39:D235–D240
Orchard S, Ammari M, Aranda B, Breuza L, Briganti L, Broackes-Carter F, Campbell NH, Chavali G, Chen C, del-Toro N et al (2014) The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases. Nucleic Acids Res 42:D358–D363
Licata L, Briganti L, Peluso D, Perfetto L, Iannuccelli M, Galeota E, Sacco F, Palma A, Nardozza AP, Santonico E et al (2012) MINT, the molecular interaction database: 2012 update. Nucleic Acids Res 40:D857–D861
Salwinski L, Miller CS, Smith AJ, Pettit FK, Bowie JU, Eisenberg D (2004) The database of interacting proteins: 2004 update. Nucleic Acids Res 32:D449–D451
Chatr-aryamontri A, Oughtred R, Boucher L, Rust J, Chang C, Kolas NK, O’Donnell L, Oster S, Theesfeld C, Sellam A et al (2017) The BioGRID interaction database: 2017 update. Nucleic Acids Res 45:D369–D379
Szklarczyk D, Morris JH, Cook H, Kuhn M, Wyder S, Simonovic M, Santos A, Doncheva NT, Roth A, Bork P et al (2017) The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible. Nucleic Acids Res 45:D362–D368
Keshava Prasad TS, Goel R, Kandasamy K, Keerthikumar S, Kumar S, Mathivanan S, Telikicherla D, Raju R, Shafreen B, Venugopal A et al (2009) Human protein reference database—2009 update. Nucleic Acids Res 37:D767–D772
Brandão MM, Dantas LL, Silva-Filho MC (2009) AtPIN: Arabidopsis thaliana protein interaction network. BMC Bioinformatics 10:454
Prieto C, De Las Rivas J (2006) APID: Agile Protein Interaction DataAnalyzer. Nucleic Acids Res 34:W298–W302
Cowley MJ, Pinese M, Kassahn KS, Waddell N, Pearson JV, Grimmond SM, Biankin AV, Hautaniemi S, Wu J (2012) PINA v2.0: mining interactome modules. Nucleic Acids Res 40:D862–D865
Kotlyar M, Pastrello C, Malik Z, Jurisica I (2019) IID 2018 update: context-specific physical protein–protein interactions in human, model organisms and domesticated species. Nucleic Acids Res 47:D581–D589
Brown KR, Otasek D, Ali M, McGuffin MJ, Xie W, Devani B, Toch IL, Jurisica I (2009) NAViGaTOR: Network Analysis, Visualization and Graphing Toronto. Bioinformatics 25:3327–3329
Hauschild A-C, Pastrello C, Rossos AEM, Jurisica I (2018) Visualization of biomedical networks. In: Reference module in life sciences. Elsevier
Emig D, Kacprowski T, Albrecht M (2011) Measuring and analyzing tissue specificity of human genes and protein complexes. EURASIP J Bioinform Syst Biol 2011:5
Braun P, Tasan M, Dreze M, Barrios-Rodiles M, Lemmens I, Yu H, Sahalie JM, Murray RR, Roncari L, de Smet AS et al (2009) An experimentally derived confidence score for binary protein-protein interactions. Nat Methods 6:91–97
Orchard S, Kerrien S, Abbani S, Aranda B, Bhate J, Bidwell S, Bridge A, Briganti L, Brinkman FSL, Brinkman F et al (2012) Protein interaction data curation: the International Molecular Exchange (IMEx) consortium. Nat Methods 9:345–350
Aranda B, Blankenburg H, Kerrien S, Brinkman FSL, Ceol A, Chautard E, Dana JM, De Las Rivas J, Dumousseau M, Galeota E et al (2011) PSICQUIC and PSISCORE: accessing and scoring molecular interactions. Nat Methods 8:528–529
Brown KR, Jurisica I (2007) Unequal evolutionary conservation of human protein interactions in interologous networks. Genome Biol 8:R95
Cusick ME, Yu H, Smolyar A, Venkatesan K, Carvunis A-R, Simonis N, Rual J-F, Borick H, Braun P, Dreze M et al (2009) Literature-curated protein interaction datasets. Nat Methods 6:39–46
Hart GT, Ramani AK, Marcotte EM (2006) How complete are current yeast and human protein-interaction networks? Genome Biol 7:120
Kotlyar M, Pastrello C, Pivetta F, Lo Sardo A, Cumbaa C, Li H, Naranian T, Niu Y, Ding Z, Vafaee F et al (2015) In silico prediction of physical protein interactions and characterization of interactome orphans. Nat Methods 12:79–84
Turinsky AL, Razick S, Turner B, Donaldson IM, Wodak SJ (2014) Navigating the global protein-protein interaction landscape using iRefWeb. Methods Mol Biol 1091:315–331
Chen JY, Pandey R, Nguyen TM (2017) HAPPI-2: a comprehensive and high-quality map of human annotated and predicted protein interactions. BMC Genomics 18:182
Montecchi-Palazzi L, Kerrien S, Reisinger F, Aranda B, Jones AR, Martens L, Hermjakob H (2009) The PSI semantic validator: a framework to check MIAPE compliance of proteomics data. Proteomics 9:5112–5119
Alanis-Lobato G, Andrade-Navarro MA, Schaefer MH (2017) HIPPIE v2.0: enhancing meaningfulness and reliability of protein-protein interaction networks. Nucleic Acids Res 45:D408–D414
Basha O, Flom D, Barshir R, Smoly I, Tirman S, Yeger-Lotem E (2015) MyProteinNet: build up-to-date protein interaction networks for organisms, tissues and user-defined contexts. Nucleic Acids Res 43:W258–W263
Barshir R, Basha O, Eluk A, Smoly IY, Lan A, Yeger-Lotem E (2013) The TissueNet database of human tissue protein-protein interactions. Nucleic Acids Res 41:D841–D844
He X, Zhang J (2006) Why do hubs tend to be essential in protein networks? PLoS Genet 2:e88
Ideker T, Sharan R (2008) Protein networks in disease. Genome Res 18:644–652
Han J-D, Bertin N, Hao T, Goldberg DS, Berriz GF, Zhang LV, Dupuy D, Walhout AJM, Cusick ME, Roth FP et al (2004) Evidence for dynamically organized modularity in the yeast protein–protein interaction network. Nature 430:88–93
Acknowledgments
The work was supported in part by the Canada Research Chair Program (CRC #225404), Krembil Foundation, Ontario Research Fund (GL2-01-030 and #34876), Natural Sciences Research Council (NSERC #203475), Canada Foundation for Innovation (CFI #225404, #30865), and IBM.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Pastrello, C., Kotlyar, M., Jurisica, I. (2020). Informed Use of Protein–Protein Interaction Data: A Focus on the Integrated Interactions Database (IID). In: Canzar, S., Ringeling, F. (eds) Protein-Protein Interaction Networks. Methods in Molecular Biology, vol 2074. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9873-9_10
Download citation
DOI: https://doi.org/10.1007/978-1-4939-9873-9_10
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-4939-9872-2
Online ISBN: 978-1-4939-9873-9
eBook Packages: Springer Protocols