Reference:Reference-005313: Difference between revisions
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| | |Firstname=Mulnaes, Daniel; Porta, Nicola; Clemens, Rebecca; Apanasenko, Irina; Reiners, Jens; Gremer, Lothar; Neudecker, Philipp; Smits, Sander H. J.; Gohlke, Holger; | ||
|BibType=journalArticle | |||
|Title=TopModel: Template-Based Protein Structure Prediction at Low Sequence Identity Using Top-Down Consensus and Deep Neural Networks | |||
|Year=2020-03-10 | |||
|Journal=Journal of Chemical Theory and Computation | |||
|Booktitle= | |||
|Volume=16 | |||
|Pages=1953–1967 | |||
|URL=https://pubs.acs.org/doi/10.1021/acs.jctc.9b00825 | |||
|DOI=10.1021/acs.jctc.9b00825 | |||
|Note=Auto downloaded ref at: 2020-06-26 | |||
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Revision as of 12:04, 26 June 2020
| Author(s) | Mulnaes, Daniel; Porta, Nicola; Clemens, Rebecca; Apanasenko, Irina; Reiners, Jens; Gremer, Lothar; Neudecker, Philipp; Smits, Sander H. J.; Gohlke, Holger; |
| BibType | journalArticle |
| Title | TopModel: Template-Based Protein Structure Prediction at Low Sequence Identity Using Top-Down Consensus and Deep Neural Networks |
| Editors | |
| Year | 2020-03-10 |
| Journal | Journal of Chemical Theory and Computation |
| Booktitle | |
| Volume | 16 |
| Pages | 1953–1967 |
| URL | https://pubs.acs.org/doi/10.1021/acs.jctc.9b00825 |
| DOI | 10.1021/acs.jctc.9b00825 |
| ISBN | |
| Note | Auto downloaded ref at: 2020-06-26
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 3000866803 |
| Semantic_ID | {{{Semantic_ID}}} |
| Nr of citations | Template:SEM |
| Sort of publication | a module application description |
| Sort of model publication | a single module |
| Is the CSDMS HPC used | No |
| If HPC is used, for what project was it?: | |
| Associated simulation movie if any: |
|
| Model(s) discussed: | TOPMODEL |
