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Systematic Protein Annotation and Modeling
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  Second Annual Meeting (4/1/2004)

Alignment Algorithms from Statistical Mechanical Models, Greg Dewey

Improved Algorithms for Comparative Modeling, Adam Godzik

Folding Proteins with Boltzmann Learning Rule, Alexei Podtelezhnikov

Machine Learning Techniques Applied to Protein Fold and Remote Homolog Recognition, David Wild

First Annual Meeting (3/5/2003)

Machine Learning Techniques Applied to Protein Fold and Remote Homologue Recognition - David Wild

SPAM Project IV - Julia Ponomarenko

Protein Structure Comparative Resource for Structural Genomics - Ilya N. Shindyalov

Random Chain Model of the Statistics of Structure Alignments - Greg Dewey

Segment Alignments (SEA) - Yuzhen Ye

Benchmarking Domain Assignments in Proteins
- Stella Veretnik

Progress with MBT - John Moreland

 

The SPAM project is supported by the National Institutes of Heath (NIH) grant number GM63208 and is located within the Skaggs School of Pharmacy and Pharmaceutical Sciences and the San Diego Supercomputer Center (SDSC) at the University of California San Diego (UCSD), the Keck Graduate Institute (KGI) and the Burnham Institute (TBI).

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