Exploring the conformational space for protein folding with sequential Monte Carlo
type: Item
instance of: scholarly article
title: Exploring the conformational space for protein folding with sequential Monte Carlo
zbMATH Open document ID: 1405.62215
DOI: 10.1214/17-AOAS1124
author: Samuel W. K. Wong
author: Jun S. Liu
author: S. C. Kou
published in: The Annals of Applied Statistics
publication date: 2018-11-15T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.aoas/1536652968
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62L12
zbMATH DE Number: 6979645
zbMATH Keywords: protein structure prediction
zbMATH Keywords: particle filter
zbMATH Keywords: structure refinement
zbMATH Keywords: energy optimization
describes a project that uses: HHpred
describes a project that uses: PISCES
MaRDI profile type: Publication
cites work: Q2753022
cites work: On-Line Inference for Hidden Markov Models via Particle Filters
cites work: Lookahead strategies for sequential Monte Carlo
cites work: Monte Carlo strategies in scientific computing
cites work: Sequential Monte Carlo Methods for Dynamic Systems
cites work: Rejection Control and Sequential Importance Sampling
cites work: The Multiple-Try Method and Local Optimization in Metropolis Sampling
OpenAlex ID: W2892117196
description: scientific article; zbMATH DE number 6979645