IntAct--open source resource for molecular interaction data

Clicks: 2
ID: 303465
2006
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #1,208 of 1,217 articles by views in Nucleic Acids Research

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,217 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
IntAct is an open source database and software suite for modeling, storing and analyzing molecular interaction data.The data available in the database originates entirely from published literature and is manually annotated by expert biologists to a high level of detail, including experimental methods, conditions and interacting domains.The database features over 126 000 binary interactions extracted from over 2100 scientific publications and makes extensive use of controlled vocabularies.The web site provides tools allowing users to search, visualize and download data from the repository.IntAct supports and encourages local installations as well as direct data submission and curation collaborations.
Reference Key
openalex_W2097698606 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Samuel Kerrien, Yasmin Alam-Faruque, Bruno Aranda, I. Bancarz, Alan Bridge, Cathy Derow, Emily Dimmer, Marc Feuermann, A. Friedrichsen, Rachael P. Huntley, Curt Kohler, J. Khadake, Catherine Leroy, A. Liban, Cor Lieftink, Luisa Montecchi‐Palazzi, Sandra Orchard, Joe Max Risse, Karine Robbe-Sermesant, Bernd Roechert, D. Thorneycroft, Y. Zhang, Rolf Apweiler, Henning Hermjakob
Journal Nucleic Acids Research
Year 2006
DOI
10.1093/nar/gkl958
URL
https://doi.org/10.1093/nar/gkl958
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.