Combining experimental and simulation data of molecular processes via augmented Markov models

Proceedings of the National Academy of Sciences of the United States of America

Volumn 114, Issue 31, 2017, Pages 8265-8270

  Olsson, Simon ^a   Wu, Hao ^a   Paul, Fabian ^a   Clementi, Cecilia ^b   Noé, Frank ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

^b RICE UNIVERSITY   (United States)

Author keywords

Augmented Markov models; Integrative structural biology; Markov state models; Maximum entropy; Molecular dynamics

Indexed keywords

ARTICLE; DATA ANALYSIS; ENTROPY; HIDDEN MARKOV MODEL; INFORMATION SCIENCE; MOLECULAR DYNAMICS; MOLECULAR MODEL; PRIORITY JOURNAL; PROBABILITY THEORY; PROTEIN FOLDING; SIMULATION; MARKOV CHAIN; METABOLISM; PHYSIOLOGY; PROTEIN SECONDARY STRUCTURE; THERMODYNAMICS;

UBIQUITIN;

MARKOV CHAINS; MODELS, MOLECULAR; MOLECULAR DYNAMICS SIMULATION; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; THERMODYNAMICS; UBIQUITIN;

EID: 85026680489     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1704803114     Document Type: Article

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