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CORRECTION article

Front. Pharmacol., 09 January 2024
Sec. Drugs Outcomes Research and Policies
Volume 14 - 2023 | https://doi.org/10.3389/fphar.2023.1340724

Corrigendum: 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

This article is a correction to:

  1. 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

    1. Read original article
Ratul BhowmikRatul Bhowmik1Ravi KantRavi Kant2Ajay Manaithiya Ajay Manaithiya1*Daman SalujaDaman Saluja2Bharti VyasBharti Vyas3Ranajit NathRanajit Nath4Kamal A. QureshiKamal A. Qureshi5Seppo Parkkila,Seppo Parkkila6,7Ashok Aspatwar Ashok Aspatwar6*
  • 1Medicinal Chemistry and Molecular Modelling Lab, Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, New Delhi, Delhi, India
  • 2Medical Biotechnology Laboratory, Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India
  • 3Department of Bioinformatics, School of Interdisciplinary Studies, Jamia Hamdard University, New Delhi, India
  • 4Department of Pharmaceutics, School of Pharmaceutical Sciences, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India
  • 5Department of Pharmaceutics, Unaizah College of Pharmacy, Qassim University, Unaizah, Saudi Arabia
  • 6Faculty of Medicine and Health Technology, Tampere University, Tampere, Pirkanmaa, Finland
  • 7Fimlab Ltd., Tampere University Hospital, Tampere, Pirkanmaa, Finland

A Corrigendum on
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

by Bhowmik R, Manaithiya A, Vyas B, Nath R, Qureshi KA, Parkkila S and Aspatwar A (2023). Front. Pharmacol. 14:1265573. doi: 10.3389/fphar.2023.1265573

In the published article, there was an error in the Author list, and author “Ravi Kant2 and Daman Saluja2” was erroneously “excluded”. The corrected Author list appears below.

“Ratul Bhowmik1, Ravi Kant2, Ajay Manaithiya1 *, Daman Saluja2, Bharti Vyas3, Ranajit Nath4, Kamal A. Qureshi5, Seppo Parkkila6,7, and Ashok Aspatwar6 *

1 Medicinal Chemistry and Molecular Modelling Lab, Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India

2 Medical Biotechnology Laboratory, Dr. B. R. Ambedkar Center for Biomedical Research, Delhi School of Public Health, IoE, University of Delhi, Delhi, India

3 Department of Bioinformatics, School of Interdisciplinary Studies, Jamia Hamdard, New Delhi, India

4 Department of Pharmaceutics, School of Pharmaceutical Sciences, Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India

5 Department of Pharmaceutics, Unaizah College of Pharmacy, Qassim University, Unaizah, Al-Qassim, Saudi Arabia

6 Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

7 Fimlab Ltd., Tampere University Hospital, Tampere, Finland”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: molecular docking, tuberculosis, drug resistance, QSAR, pharmacophore modeling

Citation: Bhowmik R, Kant R, Manaithiya A, Saluja D, Vyas B, Nath R, Qureshi KA, Parkkila S and Aspatwar A (2024) Corrigendum: 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. Front. Pharmacol. 14:1340724. doi: 10.3389/fphar.2023.1340724

Received: 18 November 2023; Accepted: 22 December 2023;
Published: 09 January 2024.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2024 Bhowmik, Kant, Manaithiya, Saluja, Vyas, Nath, Qureshi, Parkkila and Aspatwar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ajay Manaithiya, ajaymanaithiya@gmail.com; Ashok Aspatwar, ashok.aspatwar@tuni.fi

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.