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Prediction of antifreeze proteins using machine learning

Prediction of antifreeze proteins using machine learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ed54be41e163409b8fc0f01bcb87221e

Prediction of antifreeze proteins using machine learning

About this item

Full title

Prediction of antifreeze proteins using machine learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-11, Vol.12 (1), p.20672-10, Article 20672

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Living organisms including fishes, microbes, and animals can live in extremely cold weather. To stay alive in cold environments, these species generate antifreeze proteins (AFPs), also referred to as ice-binding proteins. Moreover, AFPs are extensively utilized in many important fields including medical, agricultural, industrial, and biotechnologic...

Alternative Titles

Full title

Prediction of antifreeze proteins using machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ed54be41e163409b8fc0f01bcb87221e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ed54be41e163409b8fc0f01bcb87221e

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-24501-1

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