All Stories

  1. Investigations of FAK inhibitors: a combination of 3D-QSAR, docking, and molecular dynamics simulations studies
  2. Computational study of the effects of cations and anions to the cytotoxicity of diverse ionic liquids by supervised machine learning
  3. Predicting the ecotoxicity of ionic liquids towards Vibrio fischeri using genetic function approximation and least squares support vector machine
  4. Computational studies on the binding mechanism between triazolone inhibitors and Chk1 by molecular docking and molecular dynamics
  5. Structural insights into flavones as protein kinase CK2 inhibitors derived from a combined computational study
  6. Nanoparticles' interference in the evaluation of in vitro toxicity of silver nanoparticles
  7. Study on the agonists for the human Toll-like receptor-8 by molecular modeling
  8. Combined molecular docking, molecular dynamics simulation and quantitative structure–activity relationship study of pyrimido[1,2-c][1,3]benzothiazin-6-imine derivatives as potent anti-HIV drugs
  9. MLRMPA: An R package of multiple linear regression model population analysis based on a cluster sampling technique for variable selection of high dimensional data
  10. Study on the antagonists for the orphan G protein-coupled receptor GPR55 by quantitative structure–activity relationship