An enhanced genetic algorithm for protein structure prediction using the 2d hydrophobic-polar model
EA'05 Proceedings of the 7th international conference on Artificial Evolution
A parallel genetic algorithm for protein folding prediction using the 3D-HP side chain model
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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This paper presents a methodology for the design of a reconfigurable computing system applied to a complex problem in molecular Biology: the protein folding problem. An efficient hardware-based approach was devised to achieve a significant reduction of the search space of possible foldings. Several simulations were done to evaluate the performance of the system as well as the demand for FPGA's resources. Also a complete desktop-FPGA system was developed. This work is the base for future hardware implementations aimed at finding the optimal solution for protein folding problems using the 2D-HP model.