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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Detalles Bibliográficos
Autores principales: Várnai, Csilla, Burkoff, Nikolas S., Wild, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2013
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966533/
https://www.ncbi.nlm.nih.gov/pubmed/24683370
http://dx.doi.org/10.1021/ct400628h

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966533/
https://www.ncbi.nlm.nih.gov/pubmed/24683370
http://dx.doi.org/10.1021/ct400628h

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