Inference of differential kinase interaction networks with KINference.

ABSTRACT:

Motivation

Differential kinase interaction networks (DKINs) are networks containing kinase-substrate links that are differentially active between two conditions. Existing methods are either able to predict condition-agnostic kinase-substrate links or condition-specific differential kinase activity, but do not provide differential kinase-substrate links. Moreover, existing methods for predicting kinase-substrate links usually rely on curated biochemical knowledge. Thus, there is a lack of data-driven DKIN inference methods that are also applicable when prior knowledge is scarce.

Results

To address this need, we present KINference. KINference combines computation of a baseline KIN representing the space of all possible kinase-substrate links with filters applied to nodes and e

SUBMITTER: Meyerhofer N 

PROVIDER: S-EPMC12270260 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature