KSMoFinder - Knowledge graph embedding of proteins and motifs for predicting kinases of human phosphosites.

ABSTRACT:

Motivation

Protein kinases regulate cellular signaling pathways through a cascade of phosphorylation activity, selectively targeting specific residues on substrate proteins (phosphosites). Determining the characteristics of kinases that phosphorylate specific substrates have been extensively studied. Most tools utilize amino acid sequence motifs around phosphosites but do not consider the biological characteristics of substrate proteins.

Results

We present KSMoFinder, a kinase-substrate-motif prediction model that learns factors beyond motif similarities by integrating the biological contexts of proteins. We learn the semantics in a knowledge graph containing contextual relationships of proteins, kinase-specific motifs and motif composition, and represent the proteins and mo

SUBMITTER: Anandakrishnan M 

PROVIDER: S-EPMC12633240 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature