Boltzmann machine with parallel persistent MCMC learns fields and couplings from MSAs by adjusting regularization to protein conformation conditions.
Using sequence alignments to predict protein structure and stability with high accuracy
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Boltzmann Machine Learning with a Parallel, Persistent Markov chain Monte Carlo method for Estimating Evolutionary Fields and Couplings from a Protein Multiple Sequence Alignment
Boltzmann machine with parallel persistent MCMC learns fields and couplings from MSAs by adjusting regularization to protein conformation conditions.