Evidence map›Paper›PMID 37705534›Full record

ReviewFrontiers in pharmacology2023

Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study.

Ratul Bhowmik, Ravi Kant, Ajay Manaithiya, Daman Saluja, Bharti Vyas, Ranajit Nath, Kamal A Qureshi, Seppo Parkkila, Ashok Aspatwar

Erratum issuedAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in pharmacology, 2023. 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Combating Drug Resistance inBioinformatics and biology insights · 2026
    Article
  2. Review
  3. Review
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ratul BhowmikMedicinal Chemistry and Molecular Modelling Lab, Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India.
Ravi KantDepartment of bioinformatics, School of Interdisciplinary Studies, Jamia Hamdard, New Delhi, India.
Ajay ManaithiyaMedicinal Chemistry and Molecular Modelling Lab, Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India.
Daman SalujaDepartment of bioinformatics, School of Interdisciplinary Studies, Jamia Hamdard, New Delhi, India.
Bharti VyasDepartment of bioinformatics, School of Interdisciplinary Studies, Jamia Hamdard, New Delhi, India.
Ranajit NathDepartment of Pharmaceutics, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India.
Kamal A QureshiDepartment of Pharmaceutics, Unaizah College of Pharmacy, Qassim University, Unaizah, Al-Qassim, Saudi Arabia.
Seppo ParkkilaFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Ashok AspatwarFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

drug resistancemolecular dockingpharmacophore modelingQSARtuberculosis

Identifiers

PMID37705534
PMCPMC10495588

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.