About the project
KinaDB is a database of protein-kinase structures, their activation states, and kinase-targeting drugs — built to make the handful of facts that matter most about a kinase legible at a glance.
Related research
Resolving discrepancies in kinase activity labels using machine learning
A machine-learning approach to reconciling conflicting Active / Inactive activity labels across kinase structures — the basis for the activation-state classification methodology used throughout KinaDB.
doi.org/10.20944/preprints202506.0609.v1 ↗How the site is built
Every page is generated from three datasets rather than hand-authored: a structures table, a per-structure detail record, and a kinase-inhibitor drugs table. Read the methodology for how activation state is classified, the documentation for what each field means, or head to downloads to work with the raw data.
Contact
Questions, corrections, or collaboration ideas are welcome via the contact page. For data corrections, please include the PDB ID and chain so we can look into it quickly.