Bayesian Energy Landscape Tilting: Towards Concordant Models of Molecular Ensembles
bioRxiv
Jan 24, 2014
Kyle A BeauchampRhiju Das
PMID: 990002048
DOI: 10.1101/002048
Abstract
Predicting biological structure has remained challenging for systems such as disordered proteins that take on myriad conformations. Hybrid simulation/experiment strategies have been undermined by difficulties in evaluating errors from computa- tional model inaccuracies and data uncertai...read more
Mentioned in this Paper
Anatomic Structures
Proline
Muscle Energy Technique
Molecular Target
Structure
Chemicals
Simulation
Accu
Alanyl-alanyl-alanine
Beta protein
Paper Details
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Bayesian Energy Landscape Tilting: Towards Concordant Models of Molecular Ensembles
Abstract
Predicting biological structure has remained challenging for systems such as disordered proteins that take on myriad conformations. Hybrid simulation/experiment strategies have been undermined by difficulties in evaluating errors from computa- tional model inaccuracies and data uncertai...read more
Mentioned in this Paper
Anatomic Structures
Proline
Muscle Energy Technique
Molecular Target
Structure
Chemicals
Simulation
Accu
Alanyl-alanyl-alanine
Beta protein
Related Papers
Bayesian energy landscape tilting: towards concordant models of molecular ensembles
Biophysical JournalMarch 25, 2014
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Introduction: bayesian models and Markov chain Monte Carlo methods
Genetic EpidemiologyJanuary 17, 2002
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Paper Details
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