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findMySequence : a neural-network-based approach for identification of unknown proteins in X-ray cry...

findMySequence : a neural-network-based approach for identification of unknown proteins in X-ray cry...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c1c2d178143c4afebef407a453f3cfb8

findMySequence : a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM

About this item

Full title

findMySequence : a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM

Publisher

England: International Union of Crystallography

Journal title

IUCrJ, 2022-01, Vol.9 (1), p.86-97

Language

English

Formats

Publication information

Publisher

England: International Union of Crystallography

More information

Scope and Contents

Contents

Although experimental protein-structure determination usually targets known proteins, chains of unknown sequence are often encountered. They can be purified from natural sources, appear as an unexpected fragment of a well characterized protein or appear as a contaminant. Regardless of the source of the problem, the unknown protein always requires c...

Alternative Titles

Full title

findMySequence : a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c1c2d178143c4afebef407a453f3cfb8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c1c2d178143c4afebef407a453f3cfb8

Other Identifiers

ISSN

2052-2525

E-ISSN

2052-2525

DOI

10.1107/S2052252521011088

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