SPOTLIGHT
Morphogenesis analytics
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.