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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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CATHe Dataset and Weights

Research datakeyboard_double_arrow_right Dataset 04 Mar 2022 English Publisher:Zenodo
Authors: Nallapareddy, Vamsi; Bordin, Nicola; Sillitoe, Ian; Heinzinger, Michael; Littmann, Maria; Waman, Vaishali; Sen, Neeladri; +2 Authors

doi: 10.5281/zenodo.6327572 , 10.5281/zenodo.6327571

CATHe Dataset and Weights

Abstract

This dataset consists of the training, optimization, and testing sets used for developing the CATHe model, which is a deep learning framework capable of detecting extremely remote homologues (< 20% sequence identity) for CATH superfamilies. Additionally, the training weights for the artificial neural network present in the CATHe model have been provided.

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Keywords

deep learning, bioinformatics, protein language models

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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!
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