Extending protein interaction networks using proteoforms and small molecules.

ABSTRACT:

Motivation

Biological network analysis for high-throughput biomedical data interpretation relies heavily on topological characteristics. Networks are commonly composed of nodes representing genes or proteins that are connected by edges when interacting. In this study, we use the rich information available in the Reactome pathway database to build biological networks accounting for small molecules and proteoforms modeled using protein isoforms and post-translational modifications to study the topological changes induced by this refinement of the network representation.

Results

We find that improving the interactome modeling increases the number of nodes and interactions, but that isoform and post-translational modification annotation is still limited compared to what can be e

SUBMITTER: Hernandez Sanchez LF 

PROVIDER: S-EPMC10564616 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature