Theoretical calculation and prediction of drug transport processes using simple parameters and partial least squares projections to latent structures (PLS) statistics. The use of electrotopological state indices.
A method of modeling and predicting drug transport processes using simple, theoretically computed molecular descriptors and multivariate statistics has been investigated in four data sets related to Caco-2 cell permeability, human intestinal absorption, brain-blood partitioning, and immobilized artificial membrane (IAM) chromatography. The program Molconn-Z was used to compute theoretical molecular descriptors related to electrotopological state indices. Additional parameters related to size and lipophilicity [i.e., calculated molar refraction (CMR) and octanol-water partition coefficient (CLOGP)] were also used in the statistical modeling. Good statistical models were derived (r(2) and Q(2) values ranged from 0.75 to 0.93 and 0.70 to 0.89, respectively) that permit fast computational (electronic) screening and prioritization of virtual libraries.
Norinder
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AstraZeneca R&D Södertälje, SE-151 85 Södertälje, Sweden. ulf.norinder@astrazeneca.com
Osterberg
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T
D001812:Blood-Brain Barrier; D018938:Caco-2 Cells; D002845:Chromatography; D006801:Humans; D007408:Intestinal Absorption; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D015394:Molecular Structure; D010599:Pharmacokinetics