All Stories

  1. In Silico Studies for Bacterystic Evaluation against Staphylococcus aureus of 2-Naphthoic Acid Analogues
  2. Multiple Perspectives in Anti-cancer Drug Discovery: From old Targets and Natural Products to Innovative Computational Approaches
  3. Recent advances in fragment-based computational drug design: tackling simultaneous targets/biological effects
  4. Multi-Target QSAR Approaches for Modeling Protein Inhibitors. Simultaneous Prediction of Activities Against Biomacromolecules Present in Gram-Negative Bacteria
  5. In Silico Assessment of the Acute Toxicity of Chemicals: Recent Advances and New Model for Multitasking Prediction of Toxic Effect
  6. Computer-Aided Discovery in Antimicrobial Research: In Silico Model for Virtual Screening of Potent and Safe Anti-Pseudomonas Agents
  7. Enabling Virtual Screening of Potent and Safer Antimicrobial Agents Against Noma: mtk-QSBER Model for Simultaneous Prediction of Antibacterial Activities and ADMET Properties
  8. Multitasking models for quantitative structure–biological effect relationships: current status and future perspectives to speed up drug discovery
  9. Review of Current Chemoinformatic Tools for Modeling Important Aspects of CYPsmediated Drug Metabolism. Integrating Metabolism Data with Other Biological Profiles to Enhance Drug Discovery
  10. Computer-aided nanotoxicology: assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach
  11. Evolution of Graph Theory-Based QSAR Methods and their Applications to the Search for New Antibacterial Agents
  12. New insights toward the discovery of antibacterial agents: Multi-tasking QSBER model for the simultaneous prediction of anti-tuberculosis activity and toxicological profiles of drugs