This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/33470 in citations.
TopSuite: Collection of Deep Learning-Based Metamethods to Predict and Evaluate Protein Structures and Properties
TopSuite: Collection of Deep Learning-Based Metamethods to Predict and Evaluate Protein Structures and Properties
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Personal Name(s): | Koenig, F. |
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Mulnaes, D. / van der Weg, Karel / Gohlke, Holger (Corresponding author) | |
Contributing Institute: |
Jülich Supercomputing Center; JSC Bioinformatik; IBG-4 John von Neumann - Institut für Computing; NIC |
Published in: |
NIC Symposium 2022: proceedings |
Imprint: |
Jülich
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
2022
|
Physical Description: |
47 - 54 |
Conference: | NIC Symposium 2022, Jülich (Germany), 2022-09-29 - 2022-09-30 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Forschergruppe Gohlke Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups Biological and environmental resources for sustainable use |
Series Title: |
Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series
51 |
Link: |
OpenAccess |
Publikationsportal JuSER |
Description not available. |