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A systematic analysis of regression models for protein engineering

A systematic analysis of regression models for protein engineering

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069179244

A systematic analysis of regression models for protein engineering

About this item

Full title

A systematic analysis of regression models for protein engineering

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2024-05, Vol.20 (5), p.e1012061-e1012061

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

To optimize proteins for particular traits holds great promise for industrial and pharmaceutical purposes. Machine Learning is increasingly applied in this field to
predict
properties of proteins, thereby guiding the experimental optimization process. A natural question is: How much progress are we making with such predictions, and how import...

Alternative Titles

Full title

A systematic analysis of regression models for protein engineering

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3069179244

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069179244

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1012061

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