Prediction of permeability across intestinal cell monolayers for 219 disparate chemicals using in vitro experimental coefficients in a pH gradient system and in silico analyses by trivariate linear regressions and machine learning.

Publication

Citation
Kamiya Y, Omura A, Hayasaka R, Saito R, Sano I, Handa K, Ohori J, Kitajima M, Shono F, Funatsu K, Yamazaki H.: Prediction of permeability across intestinal cell monolayers for 219 disparate chemicals using in vitro experimental coefficients in a pH gradient system and in silico analyses by trivariate linear regressions and machine learning.. Biochemical pharmacology, Volume 192, 114749, 2021
Authors
Kamiya Y, Omura A, Hayasaka R, Saito R, Sano I, Handa K, Ohori J, Kitajima M, Shono F, Funatsu K, Yamazaki H
Journal
Biochemical pharmacology
Year
2021
PubMed
34461115
Machine-readable
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Palacky University Olomouc

Palacky University Olomouc

Faculty of Science

Department of Physical Chemistry

tř. 17. listopadu 1192/12

771 46 Olomouc

Czech Republic

How to cite?

Juračka J., Šrejber M., Melíková M., Bazgier V., Berka K.: MolMeDB: Molecules on Membranes Database. Database, Volume 2019, 2019, baz078, https://doi.org/10.1093/database/baz078

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  • MolMeDB interoperability with UniProt and SwissLipids – MEYS Czech-Swiss project ELIXIR-IMPACT 8K0208 (2026–2028)
ELIXIRGAČRUP Olomouc