Protein structure prediction using particle swarm optimization and a distributed parallel approach
Proceedings of the 3rd workshop on Biologically inspired algorithms for distributed systems
Protein structure prediction using distributed parallel particle swarm optimization
Natural Computing: an international journal
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We discuss general implications of Artificial Life approaches to protein folding which makes an attempt at simulating the actual folding process rather than just trying to predict its final result. A new inverse folding method is presented that tries to determine the unknown proteins from tertiary structure to protein sequence by model the folding process. The method of protein inverse folding is based on 3D off lattice model with united atom. The folding process model and discovery of protein folding pathway is discussed by three Artificial Life approaches from protein tertiary to series of residues. The comparison and relation of the three Artificial Life approaches are also analyzed and it is found out: the inverse folding method is absolutely new method, and it is viable and excited.