Evidence map›Paper›PMID 21281130›Full record

ArticleAssay and drug development technologies2011

A screen to identify small molecule inhibitors of protein-protein interactions in mycobacteria.

Deborah Mai, Jennifer Jones, John W Rodgers, John L Hartman, Olaf Kutsch, Adrie J C Steyn

Abstract read
In one paragraph

Article in Assay and drug development technologies, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  3. 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

6 authors at 1 institution in 1 country.

Deborah MaiThe Department of Microbiology, University of Alabama at Birmingham, USA.
Jennifer Jones
John W Rodgers
John L Hartman
Olaf Kutsch
Adrie J C Steyn
University of Alabama at Birmingham · US

Funding

WhiB3 in M. tuberculosis virulenceR01AI058131 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI STEYN, ADRIE JC · 2004 to 2014
$3.6M
Role of WhiB3 in M. tuberculosis virulenceR56AI058131 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI STEYN, ADRIE JC · 2009 to 2009
$366k
NIAID NIH HHS AI058131
6 · The paper itself

Abstract

Despite extensive efforts in tuberculosis (TB) drug research, very few novel inhibitors have been discovered. This issue emphasizes the need for innovative methods to discover new anti-TB drugs. In this study, we established a new high-throughput screen (HTS) platform technology that differs from traditional TB drug screens because it utilizes Mycobacterial-Protein Fragment Complementation (M-PFC) to identify small molecule inhibitors of protein-protein interactions in mycobacteria. Several examples of protein-protein interactions were tested with M-PFC to highlight the diversity of selectable drug targets that could be used for screening. These included interactions of essential regulators (IdeR dimerization), enzymatic complexes (LeuCD), secretory antigens (Cfp10-Esat6), and signaling pathways (DevR dimerization). The feasibility of M-PFC in a HTS platform setting was tested by performing a proof-of-concept quantitative HTS of 3,600 small molecule compounds on DevR-DevR interaction, which was chosen because of its strong implications in Mycobacterium tuberculosis persistence and the need for effective drugs against latent TB. The calculated Z'-factor was consistently ≥0.8, indicating a robust and reproducible assay. Completion of the proof-of-concept screen allowed for the identification of advantages and disadvantages in the current assay design, where improvements made will further pioneer M-PFC-based applications in a large-scale HTS format.

Indexed as

Antitubercular AgentsBacterial ProteinsDrug Evaluation, PreclinicalMycobacterium tuberculosisProtein BindingProtein Interaction MappingAntitubercular AgentsBacterial Proteins

Identifiers

PMID21281130
PMCPMC3102257
OpenAlexW2038305083

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.