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» A Modular Learning Environment for Protein Modeling
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BMCBI
2007
116views more  BMCBI 2007»
13 years 6 months ago
Clustering protein environments for function prediction: finding PROSITE motifs in 3D
Background: Structural genomics initiatives are producing increasing numbers of threedimensional (3D) structures for which there is little functional information. Structure-based ...
Sungroh Yoon, Jessica C. Ebert, Eui-Young Chung, G...
BMCBI
2006
159views more  BMCBI 2006»
13 years 6 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
BMCBI
2008
112views more  BMCBI 2008»
13 years 6 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...
ICALT
2007
IEEE
14 years 16 days ago
A Multiagent Extension for Virtual Reality Based Intelligent Tutoring Systems
Applying Virtual Reality (VR) in combination with Intelligent Tutoring Systems (ITSs) is a promising approach to computer based learning and training. However, the classical struc...
Ricardo Imbert, Leticia Sánchez, Angé...
CPE
2003
Springer
149views Hardware» more  CPE 2003»
13 years 11 months ago
Logical and Stochastic Modeling with SMART
We describe the main features of SmArT, a software package providing a seamless environment for the logic and probabilistic analysis of complex systems. SmArT can combine differen...
Gianfranco Ciardo, R. L. Jones III, Andrew S. Mine...