All Stories

  1. A Pipeline Protocol to Design, Discover and Research on Peptide Inhibitors and Binding Sites for Neglected Tropical Diseases: An Application for Leishmaniasis
  2. Magre‑II: Predicting Aggregation Region in Proteins with Machine Learning, Based on Tertiary Structure
  3. MASSA Algorithm: an automated rational sampling of training and test subsets for QSAR modeling
  4. HCMV IL-10 homologues
  5. Relationship between Hormonal Modulation and Gastroprotective Activity of Malvidin and Cyanidin Chloride: In Vivo and In Silico Approach
  6. Virtual screening and in vitro assays of novel hits as promising DPP-4 inhibitors
  7. O que fazem os cientistas: textos de divulgação científica para o ensino e a aprendizagem de Ciências
  8. Recent Advances in the Prediction of Pharmacokinetics Properties in Drug Design Studies: A Review
  9. Competition Between Phenothiazines and BH3 Peptide for the Binding Site of the Antiapoptotic BCL-2 Protein
  10. Integrated Protocol to Design Potential Inhibitors of Dipeptidyl Peptidase- 4 (DPP-4)
  11. In silico studies on the interaction between bioactive ligands and DPP-IV: insights on potential candidates for the treatment of type 2 diabetes mellitus
  12. Structural Dynamics of DPP-4 and Its Influence on the Projection of Bioactive Ligands
  13. The Role of QSAR and Virtual Screening Studies in Type 2 Diabetes Drug Discovery
  14. Molecular docking studies and 2D analyses of DPP-4 inhibitors as candidates in the treatment of diabetes