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

Author:

Rashid Muhammad12,Omar Muhammad13,Mohanta Tapan Kumar4ORCID

Affiliation:

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

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

3. Department of Information and Communication Engineering, Yeungnam University , 214-1, Gyeongsan-si 712-749, South Korea

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

Abstract

AbstractProteins’ 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/

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

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