SPOTLIGHT

Morphogenesis analytics

biio.replit.app

1. Structure identity and label audit Give me a gene or a list of PDB IDs and I'll tell you which entries are the right protein, chain and domain, and which have sequence differences their mutation labels don't declare. Delivered as a flagged CSV with the residue-level evidence. 2. Gene-family structural survey Every deposited structure for a cancer gene, measured against a reference, with the true comparable mutants separated from same-sequence copies, wrong domains and partner proteins. Delivered as a family report PDF and the full data table. 3. Pairwise structure comparison Two structures of the same protein, such as mutant vs wildtype or two drug-bound states, compared region by region, with per-residue displacement. Delivered as a comparison report. 4. Mutation structural check A named substitution like KRAS G12D checked against every matching deposited structure, with AlphaMissense shown alongside as a separate layer. 5. Predicted-model cleanup Backbone-spacing regularization for AlphaFold-style models, returned as a refined PDB file. 6. Cross-family comparison How structural variation compares across several cancer gene families, as an aggregate report. 7. Custom analysis and research briefs A written evidence brief on a target or question, built from the platform's runs.

Published articles

  • How to Check if PDB Structures Are Labeled Correctly

    Protein Data Bank (PDB) entries can contain mislabeled chains, incorrect residue sequences, or undeclared mutations. Morphogenesis Analytics provides a computational framework to audit these structural records against deposited metadata.