Low-dimensional, free-energy landscapes of protein-folding reactions by nonlinear dimensionality reduction.
Payel DasMark MollHernán StamatiLydia E. KavrakiCecilia ClementiPublished in: Proc. Natl. Acad. Sci. USA (2006)
Keyphrases
- nonlinear dimensionality reduction
- free energy
- protein folding
- low dimensional
- manifold learning
- dimensionality reduction
- high dimensional
- high dimensional data
- belief propagation
- competitive learning
- secondary structure
- fixed point
- upper bound
- deterministic annealing
- principal component analysis
- euclidean space
- amino acids
- posterior distribution
- data points
- approximate inference
- feature space
- locally linear embedding
- neural network
- pairwise
- lower bound
- protein structure
- pattern recognition
- image segmentation
- computer vision
- machine learning