Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity-Reference-Cited by-同舟云学术

Artificial Intelligence-Based Quantitative Structure–Property Relationship Model for Predicting Human Intestinal Absorption of Compounds with Serotonergic Activity

Published:2023-04-18 Issue:5 Volume:20 Page:2545-2555
ISSN:1543-8384
Container-title:Molecular Pharmaceutics
language:en
Short-container-title:Mol. Pharmaceutics

Author:

Czub Natalia¹^ORCID,Szlęk Jakub¹^ORCID,Pacławski Adam¹^ORCID,Klimończyk Klaudia¹,Puccetti Matteo²,Mendyk Aleksander¹^ORCID

Affiliation:

1. Department of Pharmaceutical Technology and Biopharmaceutics, Jagiellonian University Medical College, 30-688 Kraków, Poland

2. Department of Pharmaceutical Sciences, University of Perugia, 06123 Perugia, Italy

Funder

Uniwersytet Jagiellonski Collegium Medicum

Uniwersytet Jagiellonski w Krakowie

Polish Operating Programme for Intelligent Development

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.molpharmaceut.2c01117

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