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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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Druggability Assessment in TRAPP using Machine Learning Approaches

Research datakeyboard_double_arrow_right Dataset 19 Dec 2019Publisher:ZenodoFunded by:EC | HBP SGA2, EC | K4DD
Authors: Jui-Hung Yuan; Sungho Bosco Han; Stefan Richter; Rebecca C. Wade; Daria B. Kokh;

doi: 10.5281/zenodo.3667632 , 10.5281/zenodo.3667633

Druggability Assessment in TRAPP using Machine Learning Approaches

Abstract

This archive contains data sets and software codes used for building ML models reported in the paper "Druggability Assessment in TRAPP using Machine Learning Approaches"; J. Chem. Inf. Model. 2020, 60, 3, 1685–1699; https://doi.org/10.1021/acs.jcim.9b01185

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Keywords

druggability prediction, protein druggability, protein binding pocket

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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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0
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