CPT-1 whole-proteome feature matrices (no-EVE set)

Cross-protein transfer learning for variant effect prediction

This repository contains the feature matrices for CPT-1 to make variant effect prediction on 15,557 human proteins NOT in the EVE set (Frazer et al., 2021), initially released with the manuscript "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects".

Citation

Jagota, M.*, Ye, C.*, Albors, C., Rastogi, R., Koehl, A., Ioannidis, N., and Song, Y.S.†
"Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects", bioRxiv (2022)

*These authors contributed equally to this work.
†To whom correspondence should be addressed: yss@berkeley.edu

DOI: https://doi.org/10.1101/2022.11.15.516532