Reference:Reference-005313
From CSDMS
Publication information
| 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 |
| Year | 2020-03-10 |
| Journal | Journal of Chemical Theory and Computation |
| 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 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| closed | 2026-08-31 |
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| Highlighted paper on group site | No | |
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| Feature reference | No | |
| Semantic_ID | 1fe749e4d7930e7f795afa62bff750950cdc327c | |
| Nr of citations | 43 | |
| 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 |
