Prediction of inhibitory activities of small molecules against Pantothenate synthetase from Mycobacterium tuberculosis using Machine Learning models

Author:

Hassam Muhammad,Shamsi Jawwad A.,Khan Ajmal,Al-Harrasi Ahmed,Uddin Reaz

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference42 articles.

1. Primary and acquired multidrug-resistant tuberculosis: predictive factors for unfavorable treatment outcomes in Rio de Janeiro, 2000–2016;Bhering;Rev. Panam. Salud Públic,2020

2. The epidemiology, pathogenesis, transmission, diagnosis, and management of multidrug-resistant, extensively drug-resistant, and incurable tuberculosis;Dheda;Lancet Respir. Med.,2017

3. Drug-resistant tuberculosis: challenges and progress;Kurz;Infectious Disease Clinics,2016

4. Protein integrated network analysis to reveal potential drug targets against extended drug-resistant Mycobacterium tuberculosis XDR1219;Zahra;Mol. Biotechnol.,2021

5. Structural basis for transcription initiation by bacterial ECF σ factors;Li;Nat. Commun.,2019

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