Identification and characterization of inulinases by bioinformatics analysis of bacterial glycoside hydrolases family 32 (GH32).

EC number Glycoside Hydrolase 32 bacteria inulin inulinase

Journal

Engineering in life sciences
ISSN: 1618-0240
Titre abrégé: Eng Life Sci
Pays: Germany
ID NLM: 101193313

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 17 01 2023
revised: 15 05 2023
accepted: 26 06 2023
medline: 3 8 2023
pubmed: 3 8 2023
entrez: 3 8 2023
Statut: epublish

Résumé

The glycoside hydrolase family contains enzymes that break the glycosidic bonds of carbohydrates by hydrolysis. Inulinase is one of the most important industrial enzymes in the family of Glycoside Hydrolases 32 (GH32). In this study, to identify and classify bacterial inulinases initially, 16,002 protein sequences belonging to the GH32 family were obtained using various databases. The inulin-effective enzymes (endoinulinase and exoinulinase) were identified. Eight endoinulinases (EC 3.2.1.7) and 4318 exoinulinases (EC 3.2.1.80) were found. Then, the localization of endoinulinase and exoinulinase enzymes in the cell was predicted. Among them, two extracellular endoinulinases and 1232 extracellular exoinulinases were found. The biochemical properties of 363 enzymes of the genus

Identifiants

pubmed: 37533727
doi: 10.1002/elsc.202300003
pii: ELSC1590
pmc: PMC10390659
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e2300003

Informations de copyright

© 2023 The Authors. Engineering in Life Sciences published by Wiley‐VCH GmbH.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Fatemeh Khosravi (F)

Ph. D. student of Agriculture Biotechnology University of Zanjan Zanjan Iran.

Ehsan Mohseni Fard (EM)

Department of Plant Production and Genetics Faculty of Agriculture University of Zanjan Zanjan Iran.

Marzieh Hosseininezhad (M)

Department of Food Biotechnology Research Institute of Food Science and Technology Mashhad Iran.

Hadi Shoorideh (H)

Dryland Pulses Research Department North Khorassan Agricultural Research, Education and Extension Organization (AREEO) Shirvan Iran.

Classifications MeSH