Applications of Bio-molecular Databases in Bioinformatics

Kumari, Archana; Kanchan, Swarna; Sinha, Rajeshwar P.; Kesheri, Minu

doi:10.1007/978-3-319-33793-7_15

Cited by 17 publications

(1 citation statement)

References 99 publications

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“…All the relevant proteomics MS-related information including such as post-translated modifications, has been integrated into neXtProt and is available via the web interface. 48 There are many other protein databases with specialized purposes and data types such as protein database of NCBI, SwissProt, PIR [ 63 is suggested for detailed overview of huge collection of different types of databases along with bioinformatics tools used for protein structure, function prediction, conserved regions in protein families, 3D structure prediction of drug targets as well as new drug discovery and protein-protein interactions.…”

Section: Proteomics Databasesmentioning

confidence: 99%

A Smart Way for Talking With Proteins; Proteomics

Zengin

Kiliç

Yenigün

et al. 2017

MOJPB

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Proteomics is the large-scale analysis of proteins, contributing for understanding of gene function. Functional genomics, proteomics, and even metabolomics are the footsteps of genomics that are useful tool to expand of our knowledge on the biological hierarchy of the transcription, translation, and production of small molecules. However, proteomics is a method for assessing the wide range of information such as the structure, expression, localization, biochemical activity, interactions, posttranslational modifications and cellular roles of proteins following protein isolation, digestion and mass spectrometry. Proteomics, as a significant post-genomic tool in the field of science, allows researchers to decipher underlying molecular mechanisms behind different metabolic pathways. Proteomics studies are mostly based on protein identification as using mainly bottom-up approaches such as DDA or MudPIT methods as examples of shotgun proteomics techniques. By using the high throughput mass spectrometer technology, huge output data of peptide spectra has been generated.

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Section: Proteomics Databasesmentioning

confidence: 99%