NeKo: A tool for automatic network construction from prior knowledge.

ABSTRACT: Biological networks provide a structured framework for analyzing the dynamic interplay and interactions between molecular entities, facilitating deeper insights into cellular functions and biological processes. Network construction often requires extensive manual curation based on scientific literature and public databases, a time-consuming and laborious task. To address this challenge, we introduce NeKo, a Python package to automate the construction of biological networks by integrating and prioritizing molecular interactions from various databases. NeKo allows users to provide their molecules of interest (e.g., genes, proteins or phosphosites), select interaction resources and apply flexible strategies to build networks based on prior knowledge. Users can filter interactions by various c

SUBMITTER: Ruscone M 

PROVIDER: S-EPMC12456767 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature