Informed Use of Protein-Protein Interaction Data: A Focus on the Integrated Interactions Database (IID).


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2020
Historique:
entrez: 5 10 2019
pubmed: 5 10 2019
medline: 12 1 2021
Statut: ppublish

Résumé

Protein-protein interaction data is fundamental in molecular biology, and numerous online databases provide access to this data. However, the huge quantity, complexity, and variety of PPI data can be overwhelming, and rather than helping to address research problems, the data may add to their complexity and reduce interpretability. This protocol focuses on solutions for some of the main challenges of using PPI data, including accessing data, ensuring relevance by integrating useful annotations, and improving interpretability. While the issues are generic, we highlight how to perform such operations using Integrated Interactions Database (IID; http://ophid.utoronto.ca/iid ).

Identifiants

pubmed: 31583635
doi: 10.1007/978-1-4939-9873-9_10
doi:

Substances chimiques

Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

125-134

Auteurs

Chiara Pastrello (C)

Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Krembil Research Institute, University Health Network, Toronto, ON, Canada.

Max Kotlyar (M)

Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Krembil Research Institute, University Health Network, Toronto, ON, Canada.

Igor Jurisica (I)

Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada. juris@ai.utoronto.ca.
Krembil Research Institute, University Health Network, Toronto, ON, Canada. juris@ai.utoronto.ca.
Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada. juris@ai.utoronto.ca.
Department of Computer Science, University of Toronto, Toronto, ON, Canada. juris@ai.utoronto.ca.
Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia. juris@ai.utoronto.ca.

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Classifications MeSH