Evidence map›Paper›PMID 36971900›Full record

ArticleJournal of molecular modeling2023

Exploring biogenic chalcones as DprE1 inhibitors for antitubercular activity via in silico approach.

Sanket Rathod, Pooja Chavan, Deepak Mahuli, Sneha Rochlani, Shalini Shinde, Swaranjali Pawar, Prafulla Choudhari, Rakesh Dhavale, Pralhad Mudalkar, Firoj Tamboli

Abstract read
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Article in Journal of molecular modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 22 citations in OpenAlex.

  1. Bioinspired NiCoODiscover nano · 2026
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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

10 authors at 2 institutions in 1 country.

Sanket RathodDepartment of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India. sanket.rathod-copk@bvp.edu.in.
Pooja ChavanDepartment of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India.
Deepak MahuliDepartment of Pharmacology, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India.
Sneha RochlaniDepartment of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Sanjay Ghodawat University, Atigre, Kolhapur, 416 013, MS, India.
Shalini ShindeDepartment of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India.
Swaranjali PawarDepartment of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India.
Prafulla ChoudhariDepartment of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India. prafulla.choudhari@bharatividyapeeth.edu.ORCID http://orcid.org/0000-0002-9137-3982
Rakesh DhavaleDepartment of Pharmaceutics, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India.
Pralhad MudalkarDepartment of Management, Institute of Management, Bharati Vidyapeeth Deemed to Be University, Kolhapur, 416 013, MS, India.
Firoj TamboliDepartment of Pharmacognosy, Bharati Vidyapeeth College of Pharmacy, Kolhapur, 416 013, MS, India.
Bharati Vidyapeeth Deemed University · INSanjay Ghodawat University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cases of drug-resistant tuberculosis (TB) have increased worldwide in the last few years, and it is a major threat to global TB control strategies and the human population. Mycobacterium tuberculosis is a common causative agent responsible for increasing cases of TB and as reported by WHO, approximately, 1.5 million death occurred from TB in 2020. Identification of new therapies against drug-resistant TB is an urgent need to be considered primarily. The current investigation aims to find the potential biogenic chalcone against the potential targets of drug-resistant TB via in silico approach. The ligand library of biogenic chalcones was screened against DprE1. Results of molecular docking and in silico ADMET prediction revealed that ZINC000005158606 has lead-like properties against the targeted protein. Pharmacophore modeling was done to identify the pharmacophoric features and their geometric distance present in ZINC000005158606. The binding stability study performed using molecular dynamics (MD) simulation of the DprE1-ZINC000005158606 complex revealed the conformational stability of the complex system over 100 ns with minimum deviation. Further, the in silico anti-TB sensitivity of ZINC000005158606 was found to be higher as compared to the standards against Mycobacterium tuberculosis. The overall in silico investigation indicated the potential of identified hit to act as a lead molecule against Mycobacterium tuberculosis.

Indexed as

ChalconesMycobacterium tuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsHumansMolecular Docking SimulationAntitubercular AgentsChalconesAntitubercularChalconeDprE1Drug resistanceMolecular dockingMolecular dynamicsMycobacterium

Identifiers

PMID36971900
OpenAlexW4360983550

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.