Topological analysis as a tool for detection of abnormalities in protein-protein interaction data.

ABSTRACT:

Motivation

Protein-protein interaction datasets, which can be modeled as networks, constitute an essential layer in multi-omics approach to biomedical knowledge. This representation gives insight into molecular pathways, help to uncover novel potential drug targets or predict a therapy outcome. Nevertheless, the data that constitute such systems are frequently incomplete, error-prone and biased by scientific trends. Implementation of methods for detection of such shortcomings could improve protein-protein interaction data analysis.

Results

We performed topological analysis of three protein-protein interaction networks (PPINs) from IntAct Molecular Database, regarding cancer, Parkinson's disease (two most common subjects in PPINs analysis) and Human Reference Interactome. The

SUBMITTER: Nowakowska AW 

PROVIDER: S-EPMC9746892 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature