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Development of Neural Network Models to Predict the PAMPA Effective Permeability of New, Orally Administered Drugs Active Against the Coronavirus SARS-CoV-2.

descriptionPublicationkeyboard_double_arrow_right Article 31 Aug 2021Publisher:Zenodo
Authors: Gousiadou, C.; Sarimveis, H.; Doganis, P.;

doi: 10.5281/zenodo.5504324 , 10.5281/zenodo.5337050 , 10.5281/zenodo.5337049

Development of Neural Network Models to Predict the PAMPA Effective Permeability of New, Orally Administered Drugs Active Against the Coronavirus SARS-CoV-2.

Abstract

Code for Gousiadou et al. "Development of Neural Network Models to Predict the PAMPA Effective Permeability of New, Orally Administered Drugs Active Against the Coronavirus SARS-CoV-2." This presents R code along with other input files, used to generate the results for a publication. Please see the README file for a full description.

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Keywords

PAMPA; permeability; Neural Networks; covid19, ensemble modelling; descriptors

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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