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MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...
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Related Experiment Video

Updated: Jul 18, 2026

From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028
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The National Microbial Pathogen Database Resource (NMPDR): a genomics platform based on subsystem annotation.

Leslie Klis McNeil1, Claudia Reich, Ramy K Aziz

  • 1National Center for Supercomputing Applications, Urbana, IL 61801, USA. lkmcneil@ncsa.uiuc.edu

Nucleic Acids Research
|December 6, 2006
PubMed
Summary

The National Microbial Pathogen Data Resource (NMPDR) offers curated bacterial genomes and biological subsystems for comparative analysis. This bioinformatics platform aids researchers in understanding pathogen genomes and developing new antimicrobial strategies.

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Last Updated: Jul 18, 2026

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Published on: August 25, 2018

Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • The National Microbial Pathogen Data Resource (NMPDR) is a NIAID-funded center supporting research on Category B pathogens.
  • It houses complete genomes of ~50 pathogenic bacterial strains and over 400 additional genomes for comparative analysis.

Purpose of the Study:

  • To provide a comprehensive bioinformatics platform for microbial pathogen research.
  • To offer integrated genome annotations using curated biological subsystems for consistent functional assignments.
  • To develop tools for genome analysis, including gene clustering and drug target identification.

Main Methods:

  • Integration of complete public genomes with curated biological subsystems.
  • Development of tools for genome analysis, such as gene clustering and signature gene identification.
  • Curation of essentiality data and development of in silico drug screening capabilities.

Main Results:

  • NMPDR provides access to ~50 curated pathogenic bacterial genomes and >400 contextual genomes.
  • Expertly curated biological subsystems enable consistent genome annotations and metabolic network reconstructions.
  • Tools for gene clustering, signature gene analysis, and curated essentiality data are available.

Conclusions:

  • NMPDR serves as a valuable resource for microbial pathogen research, offering integrated genomic data and bioinformatics tools.
  • The platform facilitates comparative genomics and aids in the identification of potential drug targets.
  • Ongoing development aims to enhance capabilities for in silico drug discovery and compound screening.