Evidence map›Paper›PMID 29923463›Full record

ArticleSLAS discovery : advancing life sciences R & D2018

Using Fragment-Based Approaches to Discover New Antibiotics.

Bas Lamoree, Roderick E Hubbard

Abstract read
In one paragraph

Article in SLAS discovery : advancing life sciences R & D, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

2 authors.

Bas Lamoree1 YSBL, Department of Chemistry, University of York, Heslington, York, UK.
Roderick E Hubbard1 YSBL, Department of Chemistry, University of York, Heslington, York, UK.ORCID 0000-0002-8233-7461

Funding

Biotechnology and Biological Sciences Research CouncilWellcome Trust
6 · The paper itself

Abstract

Fragment-based lead discovery has emerged over the past two decades as a successful approach to generate novel lead candidates in drug discovery programs. The two main advantages over conventional high-throughput screening (HTS) are more efficient sampling of chemical space and tighter control over the physicochemical properties of the lead candidates. Antibiotics are a class of drugs with particularly strict property requirements for efficacy and safety. The development of novel antibiotics has slowed down so much that resistance has now evolved against every available antibiotic drug. Here we give an overview of fragment-based approaches in screening and lead discovery projects for new antibiotics. We discuss several successful hit-to-lead development examples. Finally, we highlight the current challenges and opportunities for fragment-based lead discovery toward new antibiotics.

Indexed as

Anti-Bacterial AgentsDrug DiscoveryDrug Evaluation, PreclinicalHigh-Throughput Screening AssaysHumansAnti-Bacterial Agentsantibioticsfragment-based lead discovery

Identifiers

PMID29923463
PMCPMC6024353

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.