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ZENODO
Dataset . 2022
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 . 2022
License: CC BY
Data sources: ZENODO
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DeepUrfold Supplemental Material

Research datakeyboard_double_arrow_right Dataset 27 Jul 2022Publisher:Zenodo
Authors: Draizen, Eli J.; Veretnik, Stella; Mura, Cameron; Bourne, Philip E.;

doi: 10.5281/zenodo.6916524

DeepUrfold Supplemental Material

Abstract

Data provided for the paper "Exploring Fold Space with Deep Generative Models: Reconciling the Continuous vs Discrete Dichotomy with an ‘Urfold’ Model of Protein Inter-relationships" by Eli J. Draizen, Stella Veretnik, Cameron Mura, and Philip E. Bourne.

Related Organizations
Keywords

generative models, evolution, deep learning, protein structure

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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
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