CPT-1 whole-proteome variant effect prediction

<strong>Cross-protein transfer learning for variant effect prediction </strong> 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. <em>CPT1_score_EVE_set.zip</em>: Proteins in the EVE set (Frazer et al., 2021) <em>CPT1_score_no_EVE_set_1.zip</em> &amp; <em>CPT1_score_no_EVE_set_2.zip</em>: Proteins not in the EVE set. Predictions for these proteins use imputed values for features depending on the EVE MSA. <strong>Citation</strong> Jagota, M.*, Ye, C.*, Rastogi, R., Albors, C., Koehl, A., Ioannidis, N., and Song, Y.S.†<br> "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects", bioRxiv (2022) *These authors contributed equally to this work.<br> †To whom correspondence should be addressed: [e-mail] DOI: https://doi.org/10.1101/2022.11.15.516532