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BMCBI
2004
208views more  BMCBI 2004»
13 years 5 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
BMCBI
2004
177views more  BMCBI 2004»
13 years 5 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
CGA
2004
13 years 5 months ago
Haptic State-Surface Interactions
Haptic devices, such as the PHANTOM [1] (SensAble Technologies, Inc.) can be used to develop object interactions where various interaction states and state transitions are impleme...
Rick Komerska, Colin Ware