databases > DOI:10.25504/FAIRsharing.3hrbfr

ready Automatic molecular interaction predictions

Abbreviation:InteroPorc

General Information
InteroPorc is an automatic prediction tool to infer protein-protein interaction networks. It is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8.

Homepage http://biodev.extra.cea.fr/interoporc/

Developed in France





How to cite this record FAIRsharing.org: InteroPorc; Automatic molecular interaction predictions; DOI: https://doi.org/10.25504/FAIRsharing.3hrbfr; Last edited: Jan. 8, 2019, 1:16 p.m.; Last accessed: Feb 22 2019 2:03 a.m.


Record updated: Jan. 11, 2018, 7:19 p.m. by The FAIRsharing Team.

Show edit history


Support

General

support email michaut.bioinfo@gmail.com

Additional Information

Contact Jean-Christophe Aude   ORCID

Tools

    No tools defined


Access / Retrieve Data

Conditions of Use


Data Access

browse http://biodev.extra.cea.fr/interoporc/Default.aspx



Publications

InteroPORC: automated inference of highly conserved protein interaction networks.

Michaut M., Kerrien S., Montecchi-Palazzi L., Chauvat F., Cassier-Chauvat C., Aude JC., Legrain P., Hermjakob H.,
Bioinformatics 2008

View Paper (PubMed) View Publication

Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Models and Formats

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined


Related Databases

No related databases defined


Implementing Policies

This record is not implemented by any policy.


Credit

Record Maintainer

  • This record is in need of a maintainer. If you login, you'll be able to claim this record.

Funds

Maintains

Grant Number(s)

  • Biosys06_134823 SULFIRHOM (The French National Research Agency (ANR), France)

  • 021902 RII3 (European Commision grants FELICS)