Evidence map›Paper›PMID 26232029›Full record

ArticleMolecular diversity2015

Discovery of new

Rukmankesh Mehra, Reena Chib, Gurunadham Munagala, Kushalava Reddy Yempalla, Inshad Ali Khan, Parvinder Pal Singh, Farrah Gul Khan, Amit Nargotra

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Molecular diversity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Identification of NewMolecules (Basel, Switzerland) · 2021
    Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Rukmankesh MehraDiscovery Informatics Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India.
Reena ChibClinical Microbiology Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India.
Gurunadham MunagalaMedicinal Chemistry Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India.
Kushalava Reddy YempallaMedicinal Chemistry Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India.
Inshad Ali KhanClinical Microbiology Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India.
Parvinder Pal SinghMedicinal Chemistry Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India.
Farrah Gul KhanClinical Microbiology Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India. fairygk@rediffmail.com.
Amit NargotraDiscovery Informatics Division, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, 180001, India. amitnargotra@yahoo.com.
Indian Institute of Integrative Medicine · INAcademy of Scientific and Innovative Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium tuberculosis bacteria cause deadly infections in patients [Corrected]. The rise of multidrug resistance associated with tuberculosis further makes the situation worse in treating the disease. M. tuberculosis proteasome is necessary for the pathogenesis of the bacterium validated as an anti-tubercular target, thus making it an attractive enzyme for designing Mtb inhibitors. In this study, a computational screening approach was applied to identify new proteasome inhibitor candidates from a library of 50,000 compounds. This chemical library was procured from the ChemBridge (20,000 compounds) and the ChemDiv (30,000 compounds) databases. After a detailed analysis of the computational screening results, 50 in silico hits were retrieved and tested in vitro finding 15 compounds with IC₅₀ values ranging from 35.32 to 64.15 μM on lysate. A structural analysis of these hits revealed that 14 of these compounds probably have non-covalent mode of binding to the target and have not reported for anti-tubercular or anti-proteasome activity. The binding interactions of all the 14 protein-inhibitor complexes were analyzed using molecular docking studies. Further, molecular dynamics simulations of the protein in complex with the two most promising hits were carried out so as to identify the key interactions and validate the structural stability.

Indexed as

Antitubercular AgentsComputational BiologyHigh-Throughput Screening AssaysHumansMolecular Docking SimulationMolecular Dynamics SimulationMycobacterium tuberculosisProteasome InhibitorsProtein BindingQuantitative Structure-Activity RelationshipSmall Molecule LibrariesAntitubercular AgentsProteasome InhibitorsSmall Molecule LibrariesIn silico screeningMycobacterium tuberculosis inhibitorsPharmacophore modelingProteasome inhibitorsQSARSimilarity search

Identifiers

PMID26232029
OpenAlexW2672015792

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.