18 citations · 58 across the 10 of their papers we have counts for
10 papers
Boltzmann Machine Learning with a Parallel, Persistent Markov chain Monte Carlo method for Estimating Evolutionary Fields and Couplings from a Protein Multiple Sequence Alignment
Sanzo Miyazawa
The inverse Potts problem for estimating evolutionary single-site fields and pairwise couplings in homologous protein sequences from their single-site and pairwise amino acid frequ…
Boltzmann machine learning and regularization methods for inferring evolutionary fields and couplings from a multiple sequence alignment
Sanzo Miyazawa
The inverse Potts problem to infer a Boltzmann distribution for homologous protein sequences from their single-site and pairwise amino acid frequencies recently attracts a great de…
Prediction of Structures and Interactions from Genome Information
Sanzo Miyazawa
Predicting three dimensional residue-residue contacts from evolutionary information in protein sequences was attempted already in the early 1990s. However, contact prediction accur…
Selection originating from protein stability/foldability: Relationships between protein folding free energy, sequence ensemble, and fitness
Sanzo Miyazawa
Assuming that mutation and fixation processes are reversible Markov processes, we prove that the equilibrium ensemble of sequences obeys a Boltzmann distribution with $\exp(4N_e m(…
Selection originating from protein foldability: I. A new method to estimate selection temperature
Sanzo Miyazawa
The probability distribution of sequences with maximum entropy that satisfies a given amino acid composition at each site and a given pairwise amino acid frequency at each site pai…
Selection maintaining protein stability at equilibrium
Sanzo Miyazawa
The common understanding of protein evolution has been that neutral or slightly deleterious mutations are fixed by random drift, and evolutionary rate is determined primarily by th…