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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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TMbed: transmembrane proteins predicted through language model embeddings - Precomputed Predictions

Research datakeyboard_double_arrow_right Dataset 05 Nov 2022Publisher:Zenodo
Authors: Bernhofer, Michael;

doi: 10.5281/zenodo.14705941 , 10.5281/zenodo.14705940

TMbed: transmembrane proteins predicted through language model embeddings - Precomputed Predictions

Abstract

We provide precomputed predictions for the human proteome and for UniProtKB/Swiss-Prot. Human (21-04-2022) UniProtKB/Swiss-Prot (11-05-2022) Data Format Regular text file with single letters encoding predicted residue classes.In 3-line format, every protein is represented by three lines: header, sequence, labels. B: Transmembrane beta strand (IN-->OUT orientation) b: Transmembrane beta strand (OUT-->IN orientation) H: Transmembrane alpha helix (IN-->OUT orientation) h: Transmembrane alpha helix (OUT-->IN orientation) S: Signal peptide .: Non-Transmembrane

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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