title: Application of descriptors based on Lipinski's rules in the QSPR study of aqueous solubilities.
abstract: We complement new physically interpretable descriptors inspired by the Lipinski's rules of drug bioavailability with others obtained from the Dragon 3.0 software, in order to find the best QSPR relationship for aqueous solubilities of 100 structurally heterogeneous organic, drug-like compounds. The simultaneous linear regression analyses of 1367 variables lead to a six-parameter model containing two of the new proposed descriptors and which also possess good predictive ability given by R=0.8798 and cross-validated R(1-10%-o)=0.8199. We further validate the model found with an external test set composed of 48 compounds.
authors.affiliation: Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas, División Química Teórica, Departamento de Química, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Argentina. produchowicz@yahoo.com.ar
authors.forename: Pablo R
authors.initials: PR
authors.lastname: Duchowicz
authors.forename: Alan
authors.initials: A
authors.lastname: Talevi
authors.forename: Carolina
authors.initials: C
authors.lastname: Bellera
authors.forename: Luis E
authors.initials: LE
authors.lastname: Bruno-Blanch
authors.forename: Eduardo A
authors.initials: EA
authors.lastname: Castro
mesh_terms: D001682:Biological Availability; D008956:Models, Chemical; D004364:Pharmaceutical Preparations / Q000737:chemistry*; D021281:Quantitative Structure-Activity Relationship; D012984:Software; D012995:Solubility; D014867:Water / Q000737:chemistry*
chemical_list: D004364:Pharmaceutical Preparations; D014867:Water