SIMBAD
bioinformatics
cryo-EM
findMySequence
neural networks
protein sequences
protein structures
structure determination
Journal
IUCrJ
ISSN: 2052-2525
Titre abrégé: IUCrJ
Pays: England
ID NLM: 101623101
Informations de publication
Date de publication:
01 Jan 2022
01 Jan 2022
Historique:
received:
09
04
2021
accepted:
22
10
2021
entrez:
21
1
2022
pubmed:
22
1
2022
medline:
22
1
2022
Statut:
epublish
Résumé
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 characterization. Here, an automated pipeline is presented for the identification of protein sequences from cryo-EM reconstructions and crystallographic data. The method's application to characterize the crystal structure of an unknown protein purified from a snake venom is presented. It is also shown that the approach can be successfully applied to the identification of protein sequences and validation of sequence assignments in cryo-EM protein structures.
Identifiants
pubmed: 35059213
doi: 10.1107/S2052252521011088
pii: S2052252521011088
pmc: PMC8733886
doi:
Types de publication
Journal Article
Langues
eng
Pagination
86-97Informations de copyright
© Grzegorz Chojnowski et al. 2022.
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