IntAct: an open source molecular interaction database

By H. Hermjakob, L. Montecchi-Palazzi, Christopher P. Lewington, Sugath K. Mudali, Samuel Kerrien, S. Orchard, Martin Vingron, B. Roechert, P. Roepstorff, Alfonso Valencia and 6 more. Nucleic Acids Res., 2004

1,027 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/6c26791be6a51844f2784cd402876b18f110c5e4

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Citations in the corpus

Natively Unstructured Loops Differ from Other Loops (2007, methodology): “IntAct includes both large- and small-scale experiments for different organisms [67].”
Yeast Two-Hybrid, a Powerful Tool for Systems Biology (2009, neutral): “Approximately half of the interaction data available on databases such as IntAct [42] and MINT [43] are coming from Y2H assays.”
Integration of biological networks and gene expression data using Cytoscape (2007, background): “Protein–protein interactions mapped either by focused studies or by high-throughput techniques are increasingly available in public repositories such as IntAc”
Protein-to-protein interactions: Technologies, databases, and algorithms (2010, methodology): “2002]; IntAct [Hermjakob et al. 2004]; OPHID [Brown and Jurisica 2005]; PoINT [Huang et al.”
MINT: the Molecular INTeraction database (2006, background): “net/), including DIP (3), IntAct (1), MPact (4) and BIND (5).”
New developments in the InterPro database (2007, methodology): “In addition, new database cross-references to CluSTr (15) and Pfam clans (5) have been included, and entries link to the IntAct molecular interaction database (16) where manually curated examples of domain–domain interactions are available.”
The Biomolecular Interaction Network Database and related tools 2005 update (2004, methodology): “In addition, a network of collaborating interaction databases has been organized, the International Molecular-Interaction Exchange (IMEx) consortium which seeks to achieve similar goals, comprising the DIP (10), MINT (11), IntAct (12), MIPS (13) and BIND database organizations.”
Network-based machine learning and graph theory algorithms for precision oncology (2017, background): “12 Primarily, these networks include physical interactions determined by experiments and computationally derived interactions.”
Deciphering Protein–Protein Interactions. Part I. Experimental Techniques and Databases (2007, neutral): “IntAct [121] http://www.”
ChemProt: a disease chemical biology database (2010, background): “The current interactome contains 428 429 unique protein–proteins interactions derived from source databases such as BIND (34), GRID (35), MINT (36), dip_full (37), HPRD (38), intact (39), mppi (40), MPact (41), Reactome (42) and KEGG (43).”
NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data (2015, methodology): “Both databases provide comprehensive PPI coverage by integrating data from a number of primary interaction databases including BIND 33 , BioGrid 34 , MINT 35 , IntAct 36 and so on .”
iRefIndex: A consolidated protein interaction database with provenance (2008, methodology): “Our construction of a protein interaction index involved parsing PSI-MI files provided by nine interaction databases including BIND [22,23], BioGRID [24], DIP [25], HPRD [26,27], IntAct [28,29], MINT [30], MPact [31], MPPI [32] and OPHID [33].”