Abstract
The last few decades have seen the rise of widely-available proteomics tools. From new data acquisition devices, such as MALDI-MS and 2DE to new database searching softwares, these new products have paved the way for high throughput microbial proteomics (HTMP). These tools are enabling researchers to gain new insights into microbial metabolism, and are opening up new areas of study, such as protein-protein interactions (interactomics) discovery. Computer software is a key part of these emerging fields. This current review considers: 1) software tools for identifying the proteome, such as MASCOT or PDQuest, 2) online databases of proteomes, such as SWISS-PROT, Proteome Web, or the Proteomics Facility of the Pathogen Functional Genomics Resource Center, and 3) software tools for applying proteomic data, such as PSI-BLAST or VESPA. These tools allow for research in network biology, protein identification, functional annotation, target identification/validation, protein expression, protein structural analysis, metabolic pathway engineering and drug discovery.
Keywords: Drug discovery, high throughput microbial proteomics (HTMP), high throughput screening, protein identification.
Combinatorial Chemistry & High Throughput Screening
Title:Computer Applications Making Rapid Advances in High Throughput Microbial Proteomics (HTMP)
Volume: 17 Issue: 2
Author(s): Balakrishna Anandkumar, Steve W. Haga and Hui-Fen Wu
Affiliation:
Keywords: Drug discovery, high throughput microbial proteomics (HTMP), high throughput screening, protein identification.
Abstract: The last few decades have seen the rise of widely-available proteomics tools. From new data acquisition devices, such as MALDI-MS and 2DE to new database searching softwares, these new products have paved the way for high throughput microbial proteomics (HTMP). These tools are enabling researchers to gain new insights into microbial metabolism, and are opening up new areas of study, such as protein-protein interactions (interactomics) discovery. Computer software is a key part of these emerging fields. This current review considers: 1) software tools for identifying the proteome, such as MASCOT or PDQuest, 2) online databases of proteomes, such as SWISS-PROT, Proteome Web, or the Proteomics Facility of the Pathogen Functional Genomics Resource Center, and 3) software tools for applying proteomic data, such as PSI-BLAST or VESPA. These tools allow for research in network biology, protein identification, functional annotation, target identification/validation, protein expression, protein structural analysis, metabolic pathway engineering and drug discovery.
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Cite this article as:
Anandkumar Balakrishna, Haga W. Steve and Wu Hui-Fen, Computer Applications Making Rapid Advances in High Throughput Microbial Proteomics (HTMP), Combinatorial Chemistry & High Throughput Screening 2014; 17 (2) . https://dx.doi.org/10.2174/1386207317666140117102238
DOI https://dx.doi.org/10.2174/1386207317666140117102238 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
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