Development of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2
- DOI
- 10.1007/s13721-023-00410-9
- Published
- 2023-02-06
- Container
- Network Modeling Analysis in Health Informatics and Bioinformatics
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s13721-023-00410-9,
title = {Development of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2},
author = {Chrysoula Gousiadou and Philip Doganis and Haralambos Sarimveis},
year = {2023},
journal = {Network Modeling Analysis in Health Informatics and Bioinformatics},
doi = {10.1007/s13721-023-00410-9},
url = {https://doi.org/10.1007/s13721-023-00410-9}
}RIS
TY - JOUR TI - Development of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2 AU - Chrysoula Gousiadou AU - Philip Doganis AU - Haralambos Sarimveis PY - 2023 JO - Network Modeling Analysis in Health Informatics and Bioinformatics DO - 10.1007/s13721-023-00410-9 UR - https://doi.org/10.1007/s13721-023-00410-9 ER -
APA
Gousiadou, C., Doganis, P., & Sarimveis, H. (2023). Development of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2. Network Modeling Analysis in Health Informatics and Bioinformatics. https://doi.org/10.1007/s13721-023-00410-9
Source records
- crossref · retrieved 2026-09-27T08:12:59.303Z