Skip to content
/ HIA_5-HT Public

QSPR model for HIA prediction of serotonergic compounds

Notifications You must be signed in to change notification settings

nczub/HIA_5-HT

Repository files navigation

HIA_5-HT

QSPR models for HIA prediction of compounds with serotonergic activity.

We developed regression and classification models with mljar tool (https://github.com/mljar/mljar-supervised). There are available on this repository.

In folder datasets, we share databases used as trening and test set for models' creation.

Results of this research was published:

Czub N, Szlęk J, Pacławski A, Klimończyk K, Puccetti M, Mendyk A. Artificial Intelligence-Based Quantitative Structure-Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity. Mol Pharm. 2023;20(5):2545-2555. doi:10.1021/acs.molpharmaceut.2c01117

About

QSPR model for HIA prediction of serotonergic compounds

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published