Related references
Note: Only part of the references are listed.Fold recognition by concurrent use of solvent accessibility and residue depth
Song Liu et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2007)
Real-SPINE: An integrated system of neural networks for real-value prediction of protein structural properties
Ofer Dor et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2007)
Protein structure determination from NMR chemical shifts
Andrea Cavalli et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)
Achieving 80% ten-fold cross-validated accuracy for secondary structure prediction by large-scale training
Ofer Dor et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2007)
Support vector machines for prediction of dihedral angle regions
Olav Zimmermann et al.
BIOINFORMATICS (2006)
A backbone-based theory of protein folding
George D. Rose et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)
Genetic algorithms for protein conformation sampling and optimization in a discrete backbone dihedral angle space
Yuedong Yang et al.
JOURNAL OF COMPUTATIONAL CHEMISTRY (2006)
Protein structural motif prediction in multidimensional φ-ψ space leads to improved secondary structure prediction
Catherine Mooney et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2006)
Improved pairwise alignments of proteins in the Twilight Zone using local structure predictions
YM Huang et al.
BIOINFORMATICS (2006)
LiveBench-8: The large-scale, continuous assessment of automated protein structure prediction
L Rychlewski et al.
PROTEIN SCIENCE (2005)
Protein secondary structure prediction with dihedral angles
MJ Wood et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2005)
Fold recognition by combining sequence profiles derived from evolution and from depth-dependent structural alignment of fragments
HY Zhou et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2005)
Protein backbone angle prediction with machine learning approaches
R Kuang et al.
BIOINFORMATICS (2004)
Hidden Markov models that use predicted local structure for fold recognition: Alphabets of backbone geometry
R Karchin et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2003)
Real value prediction of solvent accessibility from amino acid sequence
S Ahmad et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2003)
HMMSTR: a hidden Markov model for local sequence-structure correlations in proteins
C Bystroff et al.
JOURNAL OF MOLECULAR BIOLOGY (2000)
MaxSub: an automated measure for the assessment of protein structure prediction quality
N Siew et al.
BIOINFORMATICS (2000)