Robust Estimation of Camera Rotation, Translation and Focal Length at High Outlier Rates
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Division of labor in particle swarm optimisation
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Chaotic Inertia Weight in Particle Swarm Optimization
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
The Inverse Protein Folding Process by Artificial Life Approaches
ICICSE '08 Proceedings of the 2008 International Conference on Internet Computing in Science and Engineering
Neuro-swarm hybridization for protein tertiary structure prediction
International Journal of Hybrid Intelligent Systems - Recent Advances in Intelligent Paradigms Fusion and Their Applications
Parallel particle swarm optimization applied to the protein folding problem
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
An efficient hybrid Taguchi-genetic algorithm for protein folding simulation
Expert Systems with Applications: An International Journal
A review of recent advances in global optimization
Journal of Global Optimization
Parallel Hybrid Particle Swarm Optimization and Applications in Geotechnical Engineering
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Communication Latency Tolerant Parallel Algorithm for Particle Swarm Optimization
FCST '09 Proceedings of the 2009 Fourth International Conference on Frontier of Computer Science and Technology
A study of parallel and distributed particle swarm optimization methods
Proceedings of the 2nd workshop on Bio-inspired algorithms for distributed systems
Protein structure prediction in lattice models with particle swarm optimization
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
Analysis of toy model for protein folding based on particle swarm optimization algorithm
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Protein structure prediction using distributed parallel particle swarm optimization
Natural Computing: an international journal
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Particle swarm optimization (PSO) is a powerful technique for computer aided prediction of proteins' three-dimensional structure. In this work, employing an all-atom force field we demonstrate the efficiency of the standard PSO algorithm, as implemented in the ArFlock library, for finding the folded state of two proteins of different sizes starting from completely extended conformations. In particular, the predicted structure of the larger protein is in good agreement with the structure from the Protein Data Bank within the experimental resolution. We also show that parallelization of the PSO speeds up the simulation linearly with the number of workers and reduces the time for predictions dramatically without loss of accuracy.