» Articles » PMID: 18265344

Protein Databases on the Internet

Overview
Specialty Molecular Biology
Date 2008 Feb 12
PMID 18265344
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Protein databases have become a crucial part of modern biology. Huge amounts of data for protein structures, functions, and particularly sequences are being generated. Searching databases is often the first step in the study of a new protein. Comparison between proteins and between protein families in databases provides information about the relationship between proteins within a genome or across different species, and hence offers much more information than can be obtained by studying only an isolated protein. In addition, secondary databases derived from experimental databases are also widely available. These databases reorganize and annotate the data or provide predictions. The use of multiple databases often helps researchers understand the structure and function of proteins. Although some protein databases are widely known, they are far from being fully utilized in the protein science community. This unit provides a starting point for readers to explore the potential of protein databases on the Internet.

Citing Articles

CO-19 PDB 2.0: A Comprehensive COVID-19 Database with Global Auto-Alerts, Statistical Analysis, and Cancer Correlations.

Ullah S, Li Y, Rahman W, Ullah F, Ijaz M, Ullah A Database (Oxford). 2024; 2024.

PMID: 39066515 PMC: 11281848. DOI: 10.1093/database/baae072.


DBHR: a collection of databases relevant to human research.

Ullah S, Rahman W, Ullah F, Ahmad G, Ijaz M, Gao T Future Sci OA. 2022; 8(3):FSO780.

PMID: 35251694 PMC: 8890137. DOI: 10.2144/fsoa-2021-0101.


An innovative user-friendly platform for Covid-19 pandemic databases and resources.

Ullah S, Ullah A, Rahman W, Ullah F, Khan S, Ahmad G Comput Methods Programs Biomed Update. 2021; 1:100031.

PMID: 34604832 PMC: 8465267. DOI: 10.1016/j.cmpbup.2021.100031.


Studying Smaller and Neglected Organisms in Modern Evolutionary Venomics Implementing RNASeq (Transcriptomics)-A Critical Guide.

von Reumont B Toxins (Basel). 2018; 10(7).

PMID: 30012955 PMC: 6070909. DOI: 10.3390/toxins10070292.

References
1.
Hu Z, Mani I, Hermoso V, Liu H, Wu C . iProLINK: an integrated protein resource for literature mining. Comput Biol Chem. 2004; 28(5-6):409-16. DOI: 10.1016/j.compbiolchem.2004.09.010. View

2.
Nogales-Cadenas R, Abascal F, Diez-Perez J, Carazo J, Pascual-Montano A . CentrosomeDB: a human centrosomal proteins database. Nucleic Acids Res. 2008; 37(Database issue):D175-80. PMC: 2686521. DOI: 10.1093/nar/gkn815. View

3.
Scheer M, Grote A, Chang A, Schomburg I, Munaretto C, Rother M . BRENDA, the enzyme information system in 2011. Nucleic Acids Res. 2010; 39(Database issue):D670-6. PMC: 3013686. DOI: 10.1093/nar/gkq1089. View

4.
Letunic I, Doerks T, Bork P . SMART 6: recent updates and new developments. Nucleic Acids Res. 2008; 37(Database issue):D229-32. PMC: 2686533. DOI: 10.1093/nar/gkn808. View

5.
Ogata H, Goto S, Sato K, Fujibuchi W, Bono H, Kanehisa M . KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 1998; 27(1):29-34. PMC: 148090. DOI: 10.1093/nar/27.1.29. View