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Parallel protein folding with STAPL
Shawna Thomas
,
Nancy M. Amato
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
Accuracy Improvement
33%
Alzheimer
33%
Bovine Spongiform Encephalopathy
33%
Code Changes
33%
Computational Techniques
33%
Folding Pathway
33%
Large Proteins
33%
Linux Cluster
66%
Mad Cow
33%
Misfolding
33%
Molecular Dynamics
33%
Monte Carlo Method
33%
Motion Planning
33%
Multi-user
33%
Multiple Platforms
33%
Native State
33%
Order of Magnitude
33%
Parallel Library
100%
Parallel Version
33%
Parallelizing
33%
PARASOL
33%
Partial Trajectories
33%
Performance Gain
33%
Potential Energy Landscape
33%
Probabilistic Roadmap Method
33%
Protein Folding
100%
Protein Folding Problem
33%
Simulation Techniques
33%
Texas
33%
Three-dimensional Configuration
33%
Computer Science
Experimental Result
100%
Motion Planning
100%
Multiple Platform
100%
Parallel Version
100%
Performance Gain
100%
Simulation Mode
100%
Mathematics
Approximate Map
100%
Monte Carlo
100%
Motion Planning
100%
Probabilistic Roadmap
100%
Biochemistry, Genetics and Molecular Biology
Bovine Spongiform Encephalopathy
33%
Cow
33%
DNA Template
100%
Dynamics
33%
Energy Landscape
33%
Motion
33%
Protein Folding
100%
Neuroscience
Bovine Spongiform Encephalopathy
33%
DNA Template
100%
Monte Carlo Method
33%
Protein Folding
100%