Genomic assessment of novel antibacterial targets
2004

Genomic Assessment of Novel Antibacterial Targets

publication Evidence: moderate

Author Information

Author(s): Tom White, Douglas Kell

Hypothesis

Can computational methods identify novel targets for antibacterial drugs?

Conclusion

The study successfully identified bacterial genes that could serve as potential drug targets.

Supporting Evidence

  • The study used sequence conservation across pathogenic bacteria as a criterion.
  • The absence of a human homologue was also considered in scoring bacterial genes.

Takeaway

Researchers used computers to find new ways to fight bacteria by looking for special genes that could be targeted by drugs.

Methodology

A computational approach was used to score and rank bacterial genes based on specific criteria.

Digital Object Identifier (DOI)

10.1002/cfg.409

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication