DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals
- DOI
- 10.3389/fpls.2022.1008756
- Published
- 2023-01-12
- Container
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3389/fpls.2022.1008756,
title = {DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals},
author = {Bulbul Ahmed and Md Ashraful Haque and Mir Asif Iquebal and Sarika Jaiswal and U. B. Angadi and Dinesh Kumar and Anil Rai},
year = {2023},
journal = {Frontiers in Plant Science},
doi = {10.3389/fpls.2022.1008756},
url = {https://doi.org/10.3389/fpls.2022.1008756}
}RIS
TY - JOUR TI - DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals AU - Bulbul Ahmed AU - Md Ashraful Haque AU - Mir Asif Iquebal AU - Sarika Jaiswal AU - U. B. Angadi AU - Dinesh Kumar AU - Anil Rai PY - 2023 JO - Frontiers in Plant Science DO - 10.3389/fpls.2022.1008756 UR - https://doi.org/10.3389/fpls.2022.1008756 ER -
APA
Ahmed, B., Haque, M. A., Iquebal, M. A., Jaiswal, S., Angadi, U. B., Kumar, D., & Rai, A. (2023). DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2022.1008756
Source records
- crossref · retrieved 2026-09-25T15:36:49.799Z