All Stories

  1. Targeting tryparedoxin-dependent peroxidase (TXNPx) enzyme to identify repurposing drug candidates from FDA-approved drugs and natural products using virtual screening, ADME/Tox and MD simulations
  2. Integrating in silico and in vitro approaches for identifying potential TNF-α inhibitors
  3. Machine learning framework coupled with CADD for predicting sphingosine kinase 1 inhibitors
  4. Computer-aided drug design approaches for the identification of potent inhibitors targeting elongation factor G of Mycobacterium tuberculosis
  5. Drugs repurposed against morphine and heroin dependence: molecular docking, DFT, MM-GBSA-based MD simulation studies
  6. Discovery of novel hybrid tryptamine-rivastigmine molecules as potent AChE and BChE inhibitors exhibiting multifunctional properties for the management of Alzheimer's disease
  7. Predictive Modeling and Drug Repurposing for Type-II Diabetes
  8. Unlocking translational machinery for antitubercular drug development
  9. An update on ATP synthase inhibitors: A unique target for drug development in M. tuberculosis
  10. Targeting the cytochrome bc1 complex for drug development in M. tuberculosis: review
  11. Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides
  12. Development and validation of consensus machine learning-based models for the prediction of novel small molecules as potential anti-tubercular agents
  13. Denouement of Chemicals on Amyotrophic Lateral Sclerosis: Is Green Chemistry the Answer
  14. Effect of environmental toxicants on neuronal functions
  15. Novel Pyrimidinone Derivatives Show Anticancer Activity and Induce Apoptosis: Synthesis, SAR and Putative Binding Mode
  16. Emerging opportunities of exploiting mycobacterial electron transport chain pathway for drug-resistant tuberculosis drug discovery