title: A Simple Method to Predict Blood-Brain Barrier Permeability of Drug- Like Compounds Using Classification Trees.
abstract: BACKGROUND
  To know the ability of a compound to penetrate the blood-brain barrier (BBB) is a challenging task; despite the numerous efforts realized to predict/measure BBB passage, they still have several drawbacks.
  
  
  METHODS
  The prediction of the permeability through the BBB is carried out using classification trees. A large data set of 497 compounds (recently published) is selected to develop the tree model.
  
  
  RESULTS
  The best model shows an accuracy higher than 87.6% for training set; the model was also validated using 10-fold cross-validation procedure and through a test set achieving accuracy values of 86.1% and 87.9%, correspondingly. We give a brief explanation, in structural terms, of how our model describes the passage of molecules through the BBB. Additionally, the obtained model is compared with other approaches previously published in the international literature showing better results.
  
  
  CONCLUSIONS
  Finally, we can say that, the present model would be a valuable tool in the early stages of drug discovery process of neuropharmaceuticals.
authors.affiliation: Unidad de Toxicologia Experimental, Universidad de Ciencias Medicas de Villa Clara, Carretera a acueducto y circunvalacion, Santa Clara, Villa Clara. Cuba.
authors.forename: Juan A
authors.initials: JA
authors.lastname: Castillo-Garit
authors.affiliation: Unidad de Investigacion de Diseno de Farmacos y Conectividad Molecular, Departamento de /Quimica Fisica, Facultad de Farmacia, Universitat de Valencia. Spain.
authors.forename: Gerardo M
authors.initials: GM
authors.lastname: Casanola-Martin
authors.affiliation: School of Medicine and Pharmacy, Vietnam National University, Hanoi (VNU) 144 Xuan Thuy, Cau Giay, Hanoi. Vietnam.
authors.forename: Huong
authors.initials: H
authors.lastname: Le-Thi-Thu
authors.affiliation: Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hoan Kiem, Hanoi. Vietnam.
authors.forename: Hai
authors.initials: H
authors.lastname: Pham-The
authors.affiliation: Department of Chemistry, McGill University, 801 Sherbrooke St. W., Montreal, Quebec H3A. Canada.
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Barigye
mesh_terms: D000465:Algorithms; D001812:Blood-Brain Barrier / Q000378:metabolism*; D003198:Computer Simulation; D066264:Datasets as Topic; D003663:Decision Trees; D055808:Drug Discovery; D010539:Permeability; D004364:Pharmaceutical Preparations / Q000737:chemistry / Q000145:classification* / Q000378:metabolism; D021281:Quantitative Structure-Activity Relationship
chemical_list: D004364:Pharmaceutical Preparations
keywords: Blood-brain barrier; WEKA; classification tree; molecular descriptor; neuropharmaceuticals; quantitative structure-activity
  relationship