IntAct:an open source molecular interaction database. IntAct provides an open source database and toolkit for the storage, presentation and analysis of protein interactions. The web interface provides both textual and graphical representations of protein interactions, and allows exploring interaction networks in the context of the GO annotations of the interacting proteins. A web service allows direct computational access to retrieve interaction networks in XML format. IntAct currently contains approximately 2200 binary and complex interactions imported from the literature and curated in collaboration with the Swiss-Prot team, making intensive use of controlled vocabularies to ensure data consistency. All IntAct software, data and controlled vocabularies are available at

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  1. Li, Gaoshi; Li, Min; Peng, Wei; Li, Yaohang; Pan, Yi; Wang, Jianxin: A novel extended Pareto optimality consensus model for predicting essential proteins (2019)
  2. Rasti, Saeid; Vogiatzis, Chrysafis: A survey of computational methods in protein-protein interaction networks (2019)
  3. Yezerska, Oleksandra; Pajouh, Foad Mahdavi; Veremyev, Alexander; Butenko, Sergiy: Exact algorithms for the minimum (s)-club partitioning problem (2019)
  4. von Stechow, Louise (ed.); Delgado, Alberto Santos (ed.): Computational cell biology. Methods and protocols (2018)
  5. Keith, Jonathan M. (ed.): Bioinformatics. Volume II: structure, function, and applications (2017)
  6. Wang, Beilun; Singh, Ritambhara; Qi, Yanjun: A constrained (\ell1) minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models (2017)
  7. Bag, Susmita; Ramaiah, Sudha; Anbarasu, Anand: fabp4 is central to eight obesity associated genes: a functional gene network-based polymorphic study (2015)
  8. Podder, Avijit; Jatana, Nidhi; Latha, N.: Human dopamine receptors interaction network (DRIN): a systems biology perspective on topology, stability and functionality of the network (2014)
  9. Rubin, Katy J.; Lawler, Katherine; Sollich, Peter; Ng, Tony: Memory effects in biochemical networks as the natural counterpart of extrinsic noise (2014)
  10. Yang, Lei; Wang, Jizhe; Wang, Huiping; Lv, Yingli; Zuo, Yongchun; Jiang, Wei: Analysis and identification of toxin targets by topological properties in protein-protein interaction network (2014)
  11. Binny Priya, S.; Saha, Subhojit; Anishetty, Ramesh; Anishetty, Sharmila: A matrix based algorithm for protein-protein interaction prediction using domain-domain associations (2013)
  12. Porzelius, Christine; Johannes, Marc; Binder, Harald; Beißbarth, Tim: Supporting information leveraging external knowledge on molecular interactions in classification methods for risk prediction of patients (2011)
  13. Aranda, B.; Achuthan, P.; Alam-Faruque, Y.; Armean, I.; Bridge, A.; Derow, C.; Feuermann, M.; Ghanbarian, A. T.; Kerrien, Samuel; Khadake, J.; Kerssemakers, J.; Leroy, C.; Menden, M.; Michaut, Magali; Montecchi-Palazzi, Luisa; Neuhauser, S. N.; Orchard, Sandra E.; Perreau, V.; Roechert, Bernd; Van Eijk, K.; Hermjakob, Henning: The intact molecular interaction database in 2010 (2010) ioport
  14. Browne, Fiona; Zheng, Huiru; Wang, Haiying; Azuaje, Francisco: From experimental approaches to computational techniques: a review on the prediction of protein-protein interactions (2010) ioport
  15. Doderer, Mark; Yoon, Kihoon; Robbins, Kay A.: SIDEKICK: genomic data driven analysis and decision-making framework (2010) ioport
  16. Zhang, Shao-Wu; Li, Yao-Jun; Xia, Li; Pan, Quan: Pplook: an automated data mining tool for protein-protein interaction (2010) ioport
  17. Brandão, Marcelo M.; Dantas, Luiza L.; Silva-Filho, Marcio C.: Atpin: \textitarabidopsisthalianaprotein interaction network (2009) ioport
  18. Dutkowski, Janusz; Tiuryn, Jerzy: Phylogeny-guided interaction mapping in seven eukaryotes (2009) ioport
  19. Frech, Christian; Kommenda, Michael; Dorfer, Viktoria; Kern, Thomas; Hintner, Helmut; Bauer, Johann W.; Önder, Kamil: Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis (2009) ioport
  20. Heath, Allison P.; Kavraki, Lydia E.: Computational challenges in systems biology (2009)

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