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Two sequence- and two structure-based ML models have learned different aspects of protein biochemist...

Two sequence- and two structure-based ML models have learned different aspects of protein biochemist...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_de2a0e4bd981453f829bc025b68f3554

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry

About this item

Full title

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-08, Vol.13 (1), p.13280-9, Article 13280

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Deep learning models are seeing increased use as methods to predict mutational effects or allowed mutations in proteins. The models commonly used for these purposes include large language models (LLMs) and 3D Convolutional Neural Networks (CNNs). These two model types have very different architectures and are commonly trained on different represent...

Alternative Titles

Full title

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_de2a0e4bd981453f829bc025b68f3554

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_de2a0e4bd981453f829bc025b68f3554

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-40247-w

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