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Predicting drug targets by homology modelling of Pseudomonas aeruginosa proteins of unknown function

Predicting drug targets by homology modelling of Pseudomonas aeruginosa proteins of unknown function

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2582105524

Predicting drug targets by homology modelling of Pseudomonas aeruginosa proteins of unknown function

About this item

Full title

Predicting drug targets by homology modelling of Pseudomonas aeruginosa proteins of unknown function

Publisher

San Francisco: Public Library of Science

Journal title

PloS one, 2021-10, Vol.16 (10), p.e0258385-e0258385

Language

English

Formats

Publication information

Publisher

San Francisco: Public Library of Science

More information

Scope and Contents

Contents

The efficacy of antibiotics to treat bacterial infections declines rapidly due to antibiotic resistance. This problem has stimulated the development of novel antibiotics, but most attempts have failed. Consequently, the idea of mining uncharacterized genes of pathogens to identify potential targets for entirely new classes of antibiotics was propos...

Alternative Titles

Full title

Predicting drug targets by homology modelling of Pseudomonas aeruginosa proteins of unknown function

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2582105524

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2582105524

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0258385

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