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Estimation of acid dissociation constants using graph kernels.
Mol. Inform. 29, 731-741 (2010)
The biopharmaceutical profile of a compound depends directly on the dissociation constants of its acidic and basic groups. We estimate these constants using kernel ridge regression and graph kernels. The performance of our approach is similar to that of a semi-empirical model (Tehan et al, QSAR & Comb. Sci. 21(5): 457-472, 473-485) based on frontier electron theory, but uses only the annotated structure graph. In particular, no structure optimization is necessary. We discuss advantages and shortcomings of our approach.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
pKa; Acid dissociation constant; Graph kernel; Kernel ridge regression; QSPR; MOLECULAR-ORBITAL METHODS; PK(A) PREDICTION; PHENOLS; DESCRIPTORS; DERIVATIVES; SIMILARITY; TOXICITY
ISSN (print) / ISBN
1868-1743
e-ISSN
1868-1751
Zeitschrift
Molecular Informatics
Quellenangaben
Band: 29,
Heft: 10,
Seiten: 731-741
Reihe
Suceeded QSAR & Combinatorial Science
Verlag
Wiley
Verlagsort
Weinheim
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed