AI Article Synopsis
- Protein-protein interaction networks (PPIs) provide insights into interactions between proteins, often with confidence scores indicating the likelihood of true interactions.
- Many confidence scores don't help users identify interactions specific to certain biological contexts.
- The text discusses methods for filtering PPIs contextually to enhance data interpretation and functional analysis in resources like HIPPIE, STRING, and Ingenuity Pathway Analysis.
Article Abstract
Protein-protein interaction networks (PPIs) collect information on physical-and in some cases-functional interactions between proteins. Most PPIs are annotated with confidence scores, which reflect the probability that a reported interaction is a true interaction. These scores, however, do not allow users to isolate interactions relevant in a particular biological context. Here, we describe solutions for performing context filtering on PPIs to allow biological data interpretation and functional inference in two publicly available PPIs resources (HIPPIE and STRING) and in the proprietary pathway analysis tool and knowledge base Ingenuity Pathway Analysis.
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| http://dx.doi.org/10.1007/978-1-4939-8618-7_2 | DOI Listing |
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