Thermodynamic database supports deciphering protein-nucleic acid interactions.

binding affinity bioinformatics data set protein–nucleic acid interactions therapeutic oligonucleotides

Journal

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

Informations de publication

Date de publication:
02 2023
Historique:
received: 13 07 2022
revised: 16 09 2022
accepted: 27 09 2022
pubmed: 23 10 2022
medline: 24 1 2023
entrez: 22 10 2022
Statut: ppublish

Résumé

The thermodynamics of protein-nucleic acid interactions (PNIs) is crucial for elucidating the mechanisms of molecular recognition and pathological consequences. The Protein-Nucleic Acid Thermodynamics Database (PNATDB) is a database containing experimentally determined thermodynamic parameters along with sequence, structural, and function data, which is available free online.

Identifiants

pubmed: 36272818
pii: S0167-7799(22)00252-9
doi: 10.1016/j.tibtech.2022.09.018
pii:
doi:

Substances chimiques

Nucleic Acids 0
Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

140-143

Informations de copyright

Copyright © 2022 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)

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

Ge-Fei Hao (GF)

Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, China; 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)

Key Laboratory of Pesticide & 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