Evidence map›Paper›PMID 37833553›Full record

ReviewNature reviews. Drug discovery2023

Unrealized targets in the discovery of antibiotics for Gram-negative bacterial infections.

Ursula Theuretzbacher, Benjamin Blasco, Maëlle Duffey, Laura J V Piddock

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

  1. Drug-likeness prioritised selection identifies anti-Journal of enzyme inhibition and medicinal chemistry · 2026
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  17. Bacteriocins fromFrontiers in microbiology · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ursula TheuretzbacherCenter for Anti-Infective Agents, Vienna, Austria.ORCID 0000-0003-2116-7128
Benjamin BlascoGlobal Antibiotic Research and Development Partnership (GARDP), Geneva, Switzerland.ORCID 0000-0002-1485-7887
Maëlle DuffeyGlobal Antibiotic Research and Development Partnership (GARDP), Geneva, Switzerland.ORCID 0000-0002-4319-0647
Laura J V PiddockGlobal Antibiotic Research and Development Partnership (GARDP), Geneva, Switzerland. lpiddock@gardp.org.ORCID 0000-0003-1460-473X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in areas that include genomics, systems biology, protein structure determination and artificial intelligence provide new opportunities for target-based antibacterial drug discovery. The selection of a 'good' new target for direct-acting antibacterial compounds is the first decision, for which multiple criteria must be explored, integrated and re-evaluated as drug discovery programmes progress. Criteria include essentiality of the target for bacterial survival, its conservation across different strains of the same species, bacterial species and growth conditions (which determines the spectrum of activity of a potential antibiotic) and the level of homology with human genes (which influences the potential for selective inhibition). Additionally, a bacterial target should have the potential to bind to drug-like molecules, and its subcellular location will govern the need for inhibitors to penetrate one or two bacterial membranes, which is a key challenge in targeting Gram-negative bacteria. The risk of the emergence of target-based drug resistance for drugs with single targets also requires consideration. This Review describes promising but as-yet-unrealized targets for antibacterial drugs against Gram-negative bacteria and examples of cognate inhibitors, and highlights lessons learned from past drug discovery programmes.

Indexed as

Anti-Bacterial AgentsGram-Negative Bacterial InfectionsArtificial IntelligenceBacteriaGram-Negative BacteriaHumansAnti-Bacterial Agents

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.