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Predicting Protein–protein Association Rates using Coarse-grained Simulation and Machine Learning
Protein–protein interactions dominate all major biological processes in living cells. We have developed a new Monte Carlo-based simulation algorithm to study the kinetic process of protein association. We tested our method on a previously used large benchmark set of 49 protein complexes. The predict...
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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5394550/ https://ncbi.nlm.nih.gov/pubmed/28418043 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep46622 |
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