Evidence map›Paper›PMID 26259630›Full record

ReviewArchives of pharmacal research2015

Next-generation antimicrobials: from chemical biology to first-in-class drugs.

Michelle Lay Teng Ang, Paul Murima, Kevin Pethe

Abstract readReview
In one paragraph

Review in Archives of pharmacal research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. [Molecular mechanisms underlying the development and spread of antibiotic resistance].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
    Review
  2. Article
  3. Potent Inhibition ofACS infectious diseases · 2024
    Article
  4. Article
  5. Article
  6. Structural approaches to pathway-specific antimicrobial agents.Translational research : the journal of laboratory and clinical medicine · 2020
    Review
  7. Article
  8. Natural product discovery: past, present, and future.Journal of industrial microbiology & biotechnology · 2016
    Review
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

3 authors.

Michelle Lay Teng AngLee Kong Chian School of Medicine and School of Biological Sciences, Nanyang Technological University, 30 Biopolis Street, #B2-15a, Singapore, 138671, Singapore. michelle.ang@ntu.edu.sg.
Paul MurimaGlobal Health Institute, Swiss Federal Institute of Technology in Lausanne (EPFL), 1015, Lausanne, Switzerland.
Kevin PetheLee Kong Chian School of Medicine and School of Biological Sciences, Nanyang Technological University, 30 Biopolis Street, #B2-15a, Singapore, 138671, Singapore. kevin.pethe@ntu.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global emergence of multi-drug resistant bacteria invokes an urgent and imperative necessity for the identification of novel antimicrobials. The general lack of success in progressing novel chemical entities from target-based drug screens have prompted calls for radical and innovative approaches for drug discovery. Recent developments in chemical biology and target deconvolution strategies have revived interests in the utilization of whole-cell phenotypic screens and resulted in several success stories for the discovery and development novel drug candidates and target pathways. In this review, we present and discuss recent chemical biology approaches focusing on the discovery of novel targets and new lead molecules for the treatment of human bacterial and protozoan infections.

Indexed as

AnimalsAnti-Infective AgentsCentral Nervous System Protozoal InfectionsChemistry, PharmaceuticalDrug DiscoveryHumansMycobacterium tuberculosisAnti-Infective AgentsAntimicrobialsChemical biologyDrug discoveryFirst-in-class drugsLead optimizationScreening

Identifiers

PMID26259630
PMCPMC4567591

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.