findMySequence : a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM
Grzegorz Chojnowski, Adam J. Simpkin, Diego A. Leonardo, Wolfram Seifert-Dávila, Dan Erick Vivas-Ruiz, Ronan M. Keegan, Daniel John Rigden
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.1107/s2052252521011088 ↗
- Volume · Issue · Pages
- 9 · 1 · 86-97
- Publisher
- International Union of Crystallography
- Article URL
- https://doi.org/10.1107/s2052252521011088 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
01 Dec 2021
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 01 Dec 2021 | OpenAlex |
Keywords (as given): protein sequence identification; artificial neural networks; X-ray crystallography; cryo-electron microscopy; snake venom proteins; protein structure determination; sequence verification
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
W
Based on the recorded HEC dataset applicable to the article's publication date. Listed as W in the HEC list for hjrs 2021-22 V2.
- Journal
- IUCrJ
- Publication date used
- 01 Dec 2021 (OpenAlex publication date)
- Applicable HEC period
- hjrs 2021-22 V2 (version 1) · 01 Jul 2021 – 30 Jun 2022
- Category
- W
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- hjrs-2021-22 row 1634
- Verification status
- Verified against source · last verified 16 Oct 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.