B. Aranda, H. Blankenburg, S. Kerrien, F. S. Brinkman, A. Ceol et al., PSICQUIC and PSISCORE: accessing and scoring molecular interactions, Nature Methods, vol.8, issue.7, pp.528-529, 2011.
DOI : 10.1002/pmic.200700658
URL : http://europepmc.org/articles/pmc3246345?pdf=render

M. Ashburner, C. A. Ball, J. A. Blake, D. Botstein, H. Butler et al., Gene Ontology: tool for the unification of biology, Nature Genetics, vol.9, issue.1, pp.25-29, 1038.
DOI : 10.1091/mbc.9.12.3273

M. Bada, D. Turi, R. Mcentire, and R. Stevens, Using reasoning to guide annotation with gene ontology terms in GOAT, ACM SIGMOD Record, vol.33, issue.2, pp.27-32, 2004.
DOI : 10.1145/1024694.1024699

D. Barrell, E. Dimmer, R. P. Huntley, D. Binns, C. O-'donovan et al., The GOA database in 2009--an integrated Gene Ontology Annotation resource, Nucleic Acids Research, vol.4, issue.7, pp.396-403, 2009.
DOI : 10.1002/pmic.200300721

A. Ceol, A. C. Aryamontri, L. Licata, D. Peluso, L. Briganti et al., MINT, the molecular interaction database: 2009 update, Nucleic Acids Research, vol.35, issue.Suppl. 4, pp.532-539, 2010.
DOI : 10.1093/nar/gkl842
URL : https://academic.oup.com/nar/article-pdf/38/suppl_1/D532/11218366/gkp983.pdf

C. Chapple, B. Robisson, L. Spinelli, C. Guien, E. Becker et al., Extreme multifunctional proteins identified from a human protein interaction network, Nature Communications, vol.31, issue.1, pp.7412-7422, 1038.
DOI : 10.1093/nar/gkg545
URL : https://hal.archives-ouvertes.fr/hal-01407399

A. Chatr-aryamontri, B. Breitkreutz, S. Heinicke, L. Boucher, A. Winter et al., The BioGRID interaction database: 2013 update, Nucleic Acids Research, vol.9, issue.D1, pp.816-823, 1158.
DOI : 10.1038/nmeth.1931

E. Chautard, L. Ballut, N. Thierry-mieg, R. , and S. , Matrixdb, a database focused on extracellular protein-protein and protein-carbohydrate interactions Moonlighting is mainstream: paradigm adjustment required, Bioinformatics Bioessays, vol.25, issue.34, pp.578-588, 2009.

R. Dotan-cohen, D. Letovsky, S. Melkman, A. A. Kasif, and S. , doi: 10.1093/nar Biological process linkage networks, Nucleic Acids Res. PLoS ONE, vol.39, issue.4, pp.691-697, 1018.

J. Dutkowski, M. Kramer, M. A. Surma, R. Balakrishnan, J. M. Cherry et al., A gene ontology inferred from molecular networks, Nature Biotechnology, vol.470, issue.1, pp.38-45, 2013.
DOI : 10.1016/j.cell.2005.08.031
URL : http://www.nature.com/nbt/journal/v31/n1/pdf/nbt.2463.pdf

L. Fu, B. Niu, Z. Zhu, S. Wu, L. et al., CD-HIT: accelerated for clustering the next-generation sequencing data, Bioinformatics, vol.9, issue.23, pp.3150-3152, 2012.
DOI : 10.1186/1471-2105-9-182

M. Gan, X. Dou, and R. Jiang, From Ontology to Semantic Similarity: Calculation of Ontology-Based Semantic Similarity, The Scientific World Journal, vol.5, issue.10, p.793091, 2013.
DOI : 10.1038/sj.ejhg.5201585

U. Gaur and B. B. Aggarwal, Regulation of proliferation, survival and apoptosis by members of the TNF superfamily, Biochemical Pharmacology, vol.66, issue.8, pp.1403-1408, 2003.
DOI : 10.1016/S0006-2952(03)00490-8

T. Hawkins, M. Chitale, S. Luban, and D. Kihara, PFP: Automated prediction of gene ontology functional annotations with confidence scores using protein sequence data, Proteins: Structure, Function, and Bioinformatics, vol.23, issue.Database issue, pp.566-582, 2009.
DOI : 10.1155/2004/324925

D. J. Hogan, D. P. Riordan, A. P. Gerber, D. Herschlag, and P. O. Brown, Diverse RNA-Binding Proteins Interact with Functionally Related Sets of RNAs, Suggesting an Extensive Regulatory System, PLoS Biology, vol.53, issue.10, 2008.
DOI : 10.1371/journal.pbio.0060255.sd014

C. J. Jeffery, Proteins with neomorphic moonlighting functions in disease, IUBMB Life, vol.350, issue.7, 2011.
DOI : 10.1016/j.jmb.2005.05.014

S. Kerrien, B. Aranda, L. Breuza, A. Bridge, F. Broackes-carter et al., The IntAct molecular interaction database in 2012, Nucleic Acids Research, vol.38, issue.9, pp.841-846, 1088.
DOI : 10.1093/nar/gkp983

I. Khan, D. Kihara, M. Kramer, J. Dutkowski, M. Yu et al., Computational characterization of moonlighting proteins: Table 1, Biochemical Society Transactions, vol.110, issue.6, pp.1780-1785, 2014.
DOI : 10.1002/prot.24018

P. F. Lange and C. M. Overall, TopFIND, a knowledgebase linking protein termini with function, Nature Methods, vol.8, issue.9, pp.703-704, 2011.
DOI : 10.1074/jbc.M110.185819

D. J. Lynn, G. L. Winsor, C. Chan, N. Richard, M. R. Laird et al., InnateDB: facilitating systems-level analyses of the mammalian innate immune response, Molecular Systems Biology, vol.36, p.55, 2008.
DOI : 10.1038/ni1087

C. Prieto and J. D. Rivas, Apid: agile protein interaction dataanalyzer R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Nucleic Acids Res, vol.34, 2006.
DOI : 10.1093/nar/gkl128
URL : https://academic.oup.com/nar/article-pdf/34/suppl_2/W298/7622827/gkl128.pdf

L. Salwinski, C. S. Miller, A. J. Smith, F. K. Pettit, J. U. Bowie et al., The database of interacting proteins: 2004 update A network of proteinprotein interactions in yeast, Nucleic Acids Res. Nat. Biotechnol, vol.32, issue.18, pp.1257-1261, 1038.

N. Skunca, A. Altenhoff, and C. Dessimoz, Quality of computationally inferred gene ontology annotations, PLoS Comput. Biol, 2012.

V. Spirin and L. A. Mirny, Protein complexes and functional modules in molecular networks, Proceedings of the National Academy of Sciences, vol.99, issue.22, pp.12123-12128, 2003.
DOI : 10.1073/pnas.202497999
URL : http://www.pnas.org/content/100/21/12123.full.pdf

A. Zanzoni, C. Chapple, and C. Brun, Relationship between extreme multifunctional proteins, human diseases and comorbidities from a network perspective, Front. Physiol, 2015.
DOI : 10.3389/fphys.2015.00171
URL : http://journal.frontiersin.org/article/10.3389/fphys.2015.00171/pdf

©. Copyright, . Chapple, and B. Herrmann, This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)