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| Home > Publications database > TopSuite: Collection of Deep Learning-Based Metamethods to Predict and Evaluate Protein Structures and Properties > print |
| 001 | 917118 | ||
| 005 | 20230123101918.0 | ||
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| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Koenig, F. |0 P:(DE-HGF)0 |b 0 |
| 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 |
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| 700 | 1 | _ | |a Gohlke, Holger |0 P:(DE-Juel1)172663 |b 3 |e Corresponding author |u fzj |
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