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ZENODO
Model . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Model . 2026
License: CC BY
Data sources: Datacite
ZENODO
Model . 2026
License: CC BY
Data sources: Datacite
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Protein-vec trained model for Functional Protein Mining with Conformal Guarantees (preservation copy for reproducibility)

Authors: Boger, Ron; Chithrananda, Seyone; Angelopoulos, Anastasios Nikolas; Yoon, Peter; Jordan, Michael; Doudna, Jennifer;

Protein-vec trained model for Functional Protein Mining with Conformal Guarantees (preservation copy for reproducibility)

Abstract

This is a preservation copy of the Protein-Vec model by Hamasy et al 2023, originally published at: - https://www.biorxiv.org/content/10.1101/2023.11.26.568742v1 - https://github.com/tymor22/protein-vec This model was essential to our work Functional Protein Mining with Conformal Guarantees published in Nature Communications in 2025. As of 4 Feb 2026, the original download link is no longer accessible. We are re-uploading this model to ensure reproducibility of our published work. All credit for model development goes to the original authors. Please cite their original work: Learning sequence, structure, and function representations of proteins with language models Tymor Hamamsy, Meet Barot, James T. Morton, Martin Steinegger, Richard Bonneau, Kyunghyun Cho bioRxiv 2023.11.26.568742; doi: https://doi.org/10.1101/2023.11.26.568742 For questions about the model itself, please contact the original authors.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average