|
Protein
research
Investigation
of non-pairwise protein structure
score functions using sets of decoy
structures, Ph.D.
dissertation by Christian Barrett
(compressed
postscript | compressed
pdf)
Linear
hidden Markov models for protein and
nucleic acid modeling (SAM)
Getting
the most out of hidden Markov models,
a tutorial presented at ISMB99 (Intelligent
Systems in Molecular Biology)
Predicting
protein structure using only sequence
information
(Proteins:
Structure, Function, and Genetics
1999; 37(Suppl
3):121-5) (official
journal site), the results of
SAM-T98 at CASP3
Remote
homolog detection with SAM-T98
(Bioinformatics
1998;14(10):846-56), a more detailed
presentation of SAM-T98 than the Proteins
paper (above)
Sequence
comparisons using multiple sequences
detect three times as many remote
homologues as pairwise methods
(J
Molec Biology, 1998; 284(4):249-51)
A
discriminative framework for detecting
remote protein homologies
(Abstract
| Postscript)
Weighting
hidden Markov models for maximum discrimination
(Bioinformatics
1998; 14(9):772-82) (Postscript
is also available)
Visualization
and sonification of protein structure
sequence alignments
Predicting
protein structure using hidden Markov
model (Proteins:
Structure, Function, and Genetics
1997; 29(Suppl 1):134-9), fold recognition
in CASP2 (official
journal site)
Hidden
Markov models in computational biology:
applications to protein modeling
(J Molec Biology
1994;235:1501-3)
(compressed
postscript of longer tech. rep. version,
part 1 | second
part of postscript)
Classifying
G-protein coupled receptors with support
vector machines, master's
thesis, June 2000 (compressed
postscript | pdf)
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