All Stories

  1. Beyond model interpretability using LDA and decision trees for α‐amylase and α‐glucosidase inhibitor classification studies
  2. Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry
  3. Solid Wastes Generation in Amazon State University's, Puyo, Ecuador
  4. Relationship between the fed substrates and the physical chemical parameters of an anaerobic biodigester in Ecuadorian Amazon Region.
  5. A Simple Method to Classification α-Amylase and α-Glucosidase Inhibitors Using LDA and Decision Trees
  6. A Two QSAR Way for Antidiabetic Agents Targeting Using α-Amylase and α-Glucosidase Inhibitors: Model Parameters Settings in Artificial Intelligence Techniques
  7. Quantitative structure–activity relationship analysis and virtual screening studies for identifying HDAC2 inhibitors from known HDAC bioactive chemical libraries
  8. Isolation of native Aspergillus niger from Ecuadorian Amazon to produce citric acid from sugarcane bagasse.  
  9. Diagnosis of the behavior of the African snail (Lissachatina fulica) by means of its mucous membrane interspecies communication vector
  10. Impacts of exploitation of stone in the River Tena, Napo province, Ecuador.
  11. Prediction of acute toxicity of phenol derivatives using multiple linear regression approach for Tetrahymena pyriformis contaminant identification in a median-size database
  12. MODEC2017, International Workshop on the Natural Products and Agro-Industrial Processes in Ecuadorian Amazon region
  13. QSTR modeling based on multiple linear regression for acute toxicity prediction of phenol derivatives against Tetrahymena pyriformis
  14. Incorporación de otras materias primas como fuentes de azúcares fermentables en destilerías existentes de alcohol