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

Documents similaires

• 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
  par: Ratul Bhowmik, et autres
  Publié: (2024-01-01)
• A cheminformatics and network pharmacology approach to elucidate the mechanism of action of Mycobacterium tuberculosis γ-carbonic anhydrase inhibitors
  par: Ajay Manaithiya, et autres
  Publié: (2024-09-01)
• Cheminformatics approaches to predict the bioactivity and to discover the pharmacophoric traits crucial to block NF-κB
  par: Rahul D. Jawarkar, et autres
  Publié: (2024-12-01)
• Applications of the Novel Quantitative Pharmacophore Activity Relationship Method QPhAR in Virtual Screening and Lead-Optimisation
  par: Stefan Michael Kohlbacher, et autres
  Publié: (2022-09-01)
• Pharmacophore, QSAR, molecular docking, molecular dynamics and ADMET study of trisubstituted benzimidazole derivatives as potent anti-tubercular agents
  par: Anguraj Moulishankar, et autres
  Publié: (2024-06-01)