Protein-nucleic acid thermodynamic databases for specific uses.


Journal

Trends in biotechnology
ISSN: 1879-3096
Titre abrégé: Trends Biotechnol
Pays: England
ID NLM: 8310903

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 20 03 2023
accepted: 22 03 2023
medline: 17 7 2023
pubmed: 13 4 2023
entrez: 12 4 2023
Statut: ppublish

Résumé

In response to Gromiha and Harini, we review the currently available thermodynamic databases for protein-nucleic acid interactions. These databases are designed for particular uses. We give general comments on them to facilitate browsing and exploration.

Identifiants

pubmed: 37045637
pii: S0167-7799(23)00096-3
doi: 10.1016/j.tibtech.2023.03.015
pii:
doi:

Substances chimiques

Proteins 0
Nucleic Acids 0

Types de publication

Review Letter

Langues

eng

Sous-ensembles de citation

IM

Pagination

990-991

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors have no conflicts of interest to disclose.

Auteurs

Long-Can Mei (LC)

National Key Laboratory of Green Pesticide, Key Laboratory of Pesticide and Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, China.

Ge-Fei Hao (GF)

National Key Laboratory of Green Pesticide, Key Laboratory of Pesticide and Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, China; National Key Laboratory of Green Pesticide, State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Research and Development Center for Fine Chemicals, Guizhou University, Guiyang 550000, China. Electronic address: gefei_hao@foxmail.com.

Guang-Fu Yang (GF)

National Key Laboratory of Green Pesticide, Key Laboratory of Pesticide and Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, China. Electronic address: gfyang@mail.ccnu.edu.cn.

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Classifications MeSH