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000902472 1001_ $$0P:(DE-HGF)0$$aMulnaes, Daniel$$b0
000902472 245__ $$aTopProperty: Robust Metaprediction of Transmembrane and Globular Protein Features Using Deep Neural Networks
000902472 260__ $$aWashington, DC$$c2021
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000902472 520__ $$aTransmembrane proteins (TMPs) are critical components of cellular life. However, due to experimental challenges, the number of experimentally resolved TMP structures is severely underrepresented in databases compared to their cellular abundance. Prediction of (per-residue) features such as transmembrane topology, membrane exposure, secondary structure, and solvent accessibility can be a useful starting point for experimental design or protein structure prediction but often requires different computational tools for different features or types of proteins. We present TopProperty, a metapredictor that predicts all of these features for TMPs or globular proteins. TopProperty is trained on datasets without bias toward a high number of sequence homologs, and the predictions are significantly better than the evaluated state-of-the-art primary predictors on all quality metrics. TopProperty eliminates the need for protein type- or feature-tailored tools, specifically for TMPs. TopProperty is freely available as a web server and standalone at https://cpclab.uni-duesseldorf.de/topsuite/.
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000902472 536__ $$0G:(GEPRIS)267205415$$aDFG project 267205415 - SFB 1208: Identität und Dynamik von Membransystemen - von Molekülen bis zu zellulären Funktionen $$c267205415$$x4
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000902472 7001_ $$0P:(DE-Juel1)187014$$aSchott, Stephan$$b1$$ufzj
000902472 7001_ $$0P:(DE-HGF)0$$aKoenig, Filip$$b2
000902472 7001_ $$0P:(DE-Juel1)172663$$aGohlke, Holger$$b3$$eCorresponding author
000902472 773__ $$0PERI:(DE-600)2166976-4$$a10.1021/acs.jctc.1c00685$$gVol. 17, no. 11, p. 7281 - 7289$$n11$$p7281 - 7289$$tJournal of chemical theory and computation$$v17$$x1549-9618$$y2021
000902472 8564_ $$uhttps://juser.fz-juelich.de/record/902472/files/acs.jctc.1c00685.pdf
000902472 8564_ $$uhttps://juser.fz-juelich.de/record/902472/files/TopProperty_rev_final.pdf$$yPublished on 2021-10-18. Available in OpenAccess from 2022-10-18.
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