Reference:Reference-005313
From CSDMS
| 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
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| Highlighted paper on group site | ||
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| Which groups | ||
| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 3000866803 | |
| Semantic_ID | 1fe749e4d7930e7f795afa62bff750950cdc327c | |
| Nr of citations | 38 | |
| 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: |
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| Model(s) discussed: | TOPMODEL |
