FungiProteomeDB: a database for the molecular weight and isoelectric points of the fungal proteomes.


Journal

Database : the journal of biological databases and curation
ISSN: 1758-0463
Titre abrégé: Database (Oxford)
Pays: England
ID NLM: 101517697

Informations de publication

Date de publication:
16 03 2023
Historique:
received: 11 09 2022
revised: 01 02 2023
accepted: 11 03 2023
entrez: 17 3 2023
pubmed: 18 3 2023
medline: 22 3 2023
Statut: ppublish

Résumé

Proteins' molecular weight (MW) and isoelectric point (pI) are crucial for their subcellular localization and subsequent function. These are also useful in 2D gel electrophoresis, liquid chromatography-mass spectrometry and X-ray protein crystallography. Moreover, visualizations like a virtual 2D proteome map of pI vs. MW are worthwhile to discuss the proteome diversity among different species. Although the genome sequence data of the fungi kingdom improved enormously, the proteomic details have been poorly elaborated. Therefore, we have calculated the MW and pI of the fungi proteins and reported them in, FungiProteomeDB, an online database (DB) https://vision4research.com/fungidb/. We analyzed the proteome of 685 fungal species that contain 7 127 141 protein sequences. The DB provides an easy-to-use and efficient interface for various search options, summary statistics and virtual 2D proteome map visualizations. The MW and pI of a protein can be obtained by searching the name of a protein, a keyword or a list of accession numbers. It also allows querying protein sequences. The DB will be helpful in hypothesis formulation and in various biotechnological applications. Database URL https://vision4research.com/fungidb/.

Identifiants

pubmed: 36929177
pii: 7078806
doi: 10.1093/database/baad004
pmc: PMC10019025
pii:
doi:

Substances chimiques

Proteome 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

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Auteurs

Muhammad Rashid (M)

Department of Data Science, Faculty of Computing, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
Department of Computer Science, Faculty of Computing, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.

Muhammad Omar (M)

Department of Data Science, Faculty of Computing, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
Department of Information and Communication Engineering, Yeungnam University, 214-1, Gyeongsan-si 712-749, South Korea.

Tapan Kumar Mohanta (TK)

Natural and Medical Sciences Research Center, University of Nizwa, Nizwa, Al-Dakhilya 611, Oman.

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