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Efficient Parameter Estimation of Generalizable Coarse-Grained Protein Force Fields Using Contrastive Divergence: A Maximum Likelihood Approach
[Image: see text] Maximum Likelihood (ML) optimization schemes are widely used for parameter inference. They maximize the likelihood of some experimentally observed data, with respect to the model parameters iteratively, following the gradient of the logarithm of the likelihood. Here, we employ a ML...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American
Chemical Society
2013
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3966533/ https://ncbi.nlm.nih.gov/pubmed/24683370 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/ct400628h |
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