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ZENODO
Other ORP type . 2022
License: https://opensource.org/licenses/MIT
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Other ORP type . 2022
License: https://opensource.org/licenses/MIT
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DrugEx v3 pretrained model (graph-based; Papyrus 05.5)

appsOther research productkeyboard_double_arrow_right Other ORP type 16 Sep 2022Publisher:Zenodo
Authors: Béquignon, Olivier J. M.;

doi: 10.5281/zenodo.7085420 , 10.5281/zenodo.7085421

DrugEx v3 pretrained model (graph-based; Papyrus 05.5)

Abstract

This graph-model was built with version v3.2.0-dev1 of DrugEx. The dataset used to build this model was Papyrus version 05.5. Parameters and command lines used to prepare the data and fit the model are included.

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Keywords

reinforcement learning, multi-objective optimization, Papyrus dataset, drug design, transformer, deep learning, pretrained model, policy gradient

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selected citations
These citations are derived from selected sources.
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
Average
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50
229
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