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» Computing with Evolving Proteins
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ICPR
2006
IEEE
15 years 11 months ago
Protein Fold Recognition using a Structural Hidden Markov Model
Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this pa...
Djamel Bouchaffra, Jun Tan
SP
2008
IEEE
100views Security Privacy» more  SP 2008»
15 years 4 months ago
Towards Practical Privacy for Genomic Computation
Many basic tasks in computational biology involve operations on individual DNA and protein sequences. These sequences, even when anonymized, are vulnerable to re-identification a...
Somesh Jha, Louis Kruger, Vitaly Shmatikov
NC
2006
130views Neural Networks» more  NC 2006»
14 years 9 months ago
Dynamic self-assembly in living systems as computation
Biochemical reactions taking place in living systems that map different inputs to specific outputs are intuitively recognized as performing information processing. Conventional wis...
Ann M. Bouchard, Gordon C. Osbourn
UC
2005
Springer
15 years 3 months ago
Using Genetic Algorithms to Evolve Behavior in Cellular Automata
Abstract. It is an unconventional computation approach to evolve solutions instead of calculating them. Although using evolutionary computation in computer science dates back to th...
Thomas Bäck, Ron Breukelaar
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 3 months ago
A multi-objective evolutionary approach to peptide structure redesign and stabilization
The prediction of the native structures of proteins, the socalled protein folding problem, is a NP hard multi-minima optimization problem for which to date no routine solutions ex...
Tim Hohm, Daniel Hoffmann