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Bayesian inference of protein structure from chemical shift data
Lars Andersen Bratholm, Anders Steen Christensen,
Thomas Wim Hamelryck
,
Jan Halborg Jensen
Kemisk Institut
Bioinformatik og RNA Biologi
6
Citationer (Scopus)
59
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Keyphrases
Chemical Shift
100%
Protein Structure
100%
Bayesian Inference
100%
Chemical Shift Prediction
66%
Protein Structure Prediction
33%
Joint Probability Distribution
33%
Molecular Mechanics Force Field
33%
Full Information
33%
Structure Model
33%
Inferential Structure Determination
33%
Information Content
33%
Structure Simulation
33%
Probability Distribution
33%
Unknown Structure
33%
Predictive Models
33%
Markov Chain Monte Carlo Simulation
33%
Tudor Domain
33%
Force Field
33%
Solvent Exposure
33%
Small Protein
33%
Gaussian Distribution
33%
Pharmacology, Toxicology and Pharmaceutical Science
Structure Determination
100%
Molecular Mechanic
100%
Protein G
100%
Chemical Engineering
Molecular Mechanics
100%
Biochemistry, Genetics and Molecular Biology
Cauchy Distribution
66%
Material Science
Protein Structure Prediction
33%
Markov Chain Monte Carlo
33%