Cross-protein transfer learning for variant effect prediction This repository contains the variant effect preditions of CPT-1 for 18,602 human proteins, initially released with the manuscript "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects". The proteins are split into three files. CPT1_score_EVE_set.zip: Proteins in the EVE set (Frazer et al., 2021) CPT1_score_no_EVE_set_1.zip & CPT1_score_no_EVE_set_2.zip: Proteins not in the EVE set. Predictions for these proteins use imputed values for features depending on the EVE MSA. Citation Jagota, M.*, Ye, C.*, Rastogi, R., Albors, C., 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