Evidence map›Paper›PMID 32150903›Full record

ArticleMarine drugs2020

A Phenotarget Approach for Identifying an Alkaloid Interacting with the Tuberculosis Protein Rv1466.

Yan Xie, Yunjiang Feng, Angela Di Capua, Tin Mak, Garry W Buchko, Peter J Myler, Miaomiao Liu, Ronald J Quinn

Abstract read
In one paragraph

Article in Marine drugs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Discovery of a Natural Product That Binds to theMolecules (Basel, Switzerland) · 2020
    Article
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

8 authors.

Yan XieGriffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia.
Yunjiang FengGriffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia.ORCID 0000-0003-2412-1213
Angela Di CapuaGriffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia.
Tin MakGriffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia.
Garry W BuchkoEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
Peter J MylerCenter for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA 98109-5219, USA.ORCID 0000-0002-0056-0513
Miaomiao LiuGriffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia.
Ronald J QuinnGriffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia.ORCID 0000-0002-4022-2623

Funding

Australian Research Council DP160101429Australian Research Council LE120100170Australian Research Council LE140100119Australian Research Council LP120100485Bill and Melinda Gates Foundation OPP1035218Bill and Melinda Gates Foundation OPP1174957National Institute of Allergy and Infectious Diseases HHSH27220120025CNational Institute of Allergy and Infectious Diseases HHSN272201700059CNIAID NIH HHS HHSN272200700057C
6 · The paper itself

Abstract

In recent years, there has been a revival of interest in phenotypic-based drug discovery (PDD) due to target-based drug discovery (TDD) falling below expectations. Both PDD and TDD have their unique advantages and should be used as complementary methods in drug discovery. The PhenoTarget approach combines the strengths of the PDD and TDD approaches. Phenotypic screening is conducted initially to detect cellular active components and the hits are then screened against a panel of putative targets. This PhenoTarget protocol can be equally applied to pure compound libraries as well as natural product fractions. Here we described the use of the PhenoTarget approach to identify an anti-tuberculosis lead compound. Fractions from

Indexed as

AlkaloidsAntitubercular AgentsDrug Delivery SystemsDrug DiscoveryDrug Evaluation, PreclinicalHigh-Throughput Screening AssaysHumansMolecular WeightMycobacterium tuberculosisPhenotypePlant ExtractsProteomeAlkaloidsAntitubercular AgentsPlant ExtractsProteomeMRMSPhenoTarget approachpolycarpineprotein-ligand complex

Identifiers

PMID32150903
PMCPMC7143284

What OpenQuestion holds

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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.