001     917118
005     20230123101918.0
024 7 _ |a 2128/33470
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037 _ _ |a FZJ-2023-00350
041 _ _ |a English
100 1 _ |a Koenig, F.
|0 P:(DE-HGF)0
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111 2 _ |a NIC Symposium 2022
|c Jülich
|d 2022-09-29 - 2022-09-30
|w Germany
245 _ _ |a TopSuite: Collection of Deep Learning-Based Metamethods to Predict and Evaluate Protein Structures and Properties
260 _ _ |a Jülich
|c 2022
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
295 1 0 |a NIC Symposium 2022: proceedings
300 _ _ |a 47 - 54
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a conferenceObject
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336 7 _ |a Contribution to a conference proceedings
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336 7 _ |a Contribution to a book
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490 0 _ |a Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series
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536 _ _ |a 2171 - Biological and environmental resources for sustainable use (POF4-217)
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536 _ _ |a Forschergruppe Gohlke (hkf7_20200501)
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700 1 _ |a Mulnaes, D.
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700 1 _ |a van der Weg, Karel
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700 1 _ |a Gohlke, Holger
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856 4 _ |u https://juser.fz-juelich.de/record/917118/files/NIC_2022_Gohlke.pdf
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913 1 _ |a DE-HGF
|b Forschungsbereich Erde und Umwelt
|l Erde im Wandel – Unsere Zukunft nachhaltig gestalten
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|v Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten
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913 1 _ |a DE-HGF
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|v Enabling Computational- & Data-Intensive Science and Engineering
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914 1 _ |y 2022
915 _ _ |a OpenAccess
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920 1 _ |0 I:(DE-Juel1)NIC-20090406
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