Prediction of blood-brain partitioning and human serum albumin binding based on COSMO-RS sigma-moments.
Models for the prediction of blood-brain partitioning (logBB) and human serum albumin binding (logK(HSA)) of neutral molecules were developed using the set of 5 COSMO-RS sigma-moments as descriptors. These sigma-moments have already been introduced earlier as a general descriptor set for partition coefficients. They are obtained from quantum chemical calculations using the continuum solvation model COSMO and a subsequent statistical decomposition of the resulting polarization charge densities. The model for blood-brain partitioning was built on a data set of 103 compounds and yielded a correlation coefficient of r2 = 0.71 and an rms error of 0.40 log units. The human serum albumin binding model was built on a data set of 92 compounds and achieved an r2 of 0.67 and an rms error of 0.33 log units. Both models were validated by leave-one-out cross-validation tests, which resulted in q2 = 0.68 and a qms error of 0.42 for the logBB model and in q2 = 0.63 and a qms error of 0.35 for the logK(HSA) model. Together with the previously published models for intestinal absorption and for drug solubility the presented two models complete the COSMO-RS based set of ADME prediction models.
Wichmann
Karin
K
COSMOlogic GmbH & Co. KG, Burscheider Strasse 515, 51381 Leverkusen, Germany. wichmann@cosmologic.de
Diedenhofen
Michael
M
Klamt
Andreas
A
D001185:Artificial Intelligence; D001812:Blood-Brain Barrier / Q000378:metabolism*; D004583:Electrons; D006801:Humans; D007408:Intestinal Absorption; D008958:Models, Molecular; D011485:Protein Binding; D021281:Quantitative Structure-Activity Relationship; D011789:Quantum Theory; D012709:Serum Albumin / Q000737:chemistry*; D012995:Solubility
D012709:Serum Albumin