title: Predicting blood-brain barrier partitioning of organic molecules using membrane-interaction QSAR analysis.
abstract: OBJECTIVE
  Membrane-interaction quantitative structure-activity relationship (OSAR) analysis (MI-QSAR) has been used to develop predictive models of blood-brain barrier partitioning of organic compounds by, in part, simulating the interaction of an organic compound with the phospholipid-rich regions of cellular membranes.
  
  
  METHODS
  A training set of 56 structurally diverse compounds whose blood-brain barrier partition coefficients were measured was used to construct MI-QSAR models. Molecular dynamics simulations were used to determine the explicit interaction of each test compound (solute) with a model DMPC monolayer membrane model. An additional set of intramolecular solute descriptors were computed and considered in the trial pool of descriptors for building MI-QSAR models. The QSAR models were optimized using multidimensional linear regression fitting and a genetic algorithm. A test set of seven compounds was evaluated using the MI-QSAR models as part of a validation process.
  
  
  RESULTS
  Significant MI-QSAR models (R2 = 0.845, Q2 = 0.795) of the blood-brain partitioning process were constructed. Blood-brain barrier partitioning is found to depend upon the polar surface area. the octanol/water partition coefficient, and the conformational flexibility of the compounds as well as the strength of their binding" to the model biologic membrane. The blood-brain barrier partitioning measures of the test set compounds were predicted with the same accuracy as the compounds of the training set.
  
  
  CONCLUSIONS
  The MI-QSAR models indicate that the blood-brain barrier partitioning process can be reliably described for structurally diverse molecules provided interactions of the molecule with the phospholipids-rich regions of cellular membranes are explicitly considered.
authors.affiliation: Laboratory of Molecular Modeling and Design (M/C 781), College of Pharmacy, The University of Illinois at Chicago. 833 South Wood Street, Chicago, Illinois 60612-7231, USA.
authors.forename: Manisha
authors.initials: M
authors.lastname: Iyer
authors.forename: Rama
authors.initials: R
authors.lastname: Mishra
authors.forename: Yi
authors.initials: Y
authors.lastname: Han
authors.forename: A J
authors.initials: AJ
authors.lastname: Hopfinger
mesh_terms: D001812:Blood-Brain Barrier / Q000187:drug effects / Q000502:physiology*; D002462:Cell Membrane / Q000187:drug effects / Q000378:metabolism; D005544:Forecasting; D008567:Membranes, Artificial; D008954:Models, Biological; D004364:Pharmaceutical Preparations / Q000737:chemistry* / Q000378:metabolism; D021281:Quantitative Structure-Activity Relationship
chemical_list: D008567:Membranes, Artificial; D004364:Pharmaceutical Preparations