Withdrawal Notice: Novel Sequence Features of Leucine-rich Repeats in Proteins from Nucleocytoplasmic Large DNA Viruses


Journal

Current protein & peptide science
ISSN: 1875-5550
Titre abrégé: Curr Protein Pept Sci
Pays: United Arab Emirates
ID NLM: 100960529

Informations de publication

Date de publication:
02 12 2021
Historique:
received: 29 03 2021
revised: 22 07 2021
accepted: 13 11 2021
entrez: 3 12 2021
pubmed: 4 12 2021
medline: 4 12 2021
Statut: aheadofprint

Résumé

The article has been withdrawn at the request of the author and the editor of the journal Current Protein and Peptide Science. Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Identifiants

pubmed: 34856894
pii: CPPS-EPUB-119215
doi: 10.2174/1389203722666211202151127
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net

Auteurs

Norio Matsushima (N)

Division of Bioinformatics, Institute of Tandem Repeats, Noboribetsu 059-0464. Japan.

Robert H Kretsinger (RH)

Department of Biology, University of Virginia, Charlottesville, VA 22904. United States.

Classifications MeSH