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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Claim

Machine learning prediction of enzyme optimal pH

Research datakeyboard_double_arrow_right Dataset 06 Jun 2023Publisher:Zenodo
Authors: Japheth E. Gado; Matthew Knotts; Ada Y. Shaw; Debora Marks; Nicholas P. Gauthier; Chris Sander; Gregg T. Beckham;

doi: 10.5281/zenodo.14252615 , 10.5281/zenodo.8011248

Machine learning prediction of enzyme optimal pH

Abstract

- Enzyme catalytic optimum pH dataset (pHopt, 9855 proteins) - Secreted bacterial optimum environment pH dataset (pHenv, 1.9 million proteins) - Model for predicting pHopt of enzymes (EpHod) - Code for using the EpHod model are in GitHub. Paper in BioRxiv

  • BIP!
    Impact byBIP!
    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).
    		 1
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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!
1
Average
Average
Average