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2009
IEEE

A parallel genetic algorithm for protein folding prediction using the 3D-HP Side Chain model

12 years 2 months ago
A parallel genetic algorithm for protein folding prediction using the 3D-HP Side Chain model
— This work presents a methodology for the application of a parallel genetic algorithm (PGA) to the problem of protein folding prediction, using the 3DHP-Side Chain model. This model is more realistic than the usual 3DHP model but, on the other hand, it is has a higher degree of complexity. Specific encoding and fitness function were proposed for this model, and running parameters were experimentally set for the standard master-slave PGA. The system was tested with a benchmark of synthetic sequences, obtaining good results. An analysis of performance of the parallel implementation was done, compared with the sequential version. Overall results suggest that the approach is efficient and promising.
César Manuel Vargas Benítez, Heitor
Added 21 Jul 2010
Updated 21 Jul 2010
Type Conference
Year 2009
Where CEC
Authors César Manuel Vargas Benítez, Heitor Silvério Lopes
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