A PARALLEL HYBRID GA FOR PEPTIDE 3-D STRUCTURE PREDICTION
スポンサーリンク
概要
- 論文の詳細を見る
The present work describes recent advances made in the system for 3-D structure prediction of polypeptides being developed in our laboratory. The system was originally conceived as a conformational space search procedure based on a simple genetic algorithm. However, the complexity of the system and the need to produce better fit conformers as artificial evolution proceeds, compelled us to improve the algorithm in two substantial aspects. The first is a parallelization of the original algorithm to enrich the diversity of conformers in the population and the second a hybridization of the original GA in order to process the atoms of the side chains.<BR>The results are exemplified with the prediction of the 3D structure for CRAMBIN.
- 日本バイオインフォマティクス学会の論文
日本バイオインフォマティクス学会 | 論文
- Performance Improvement in Protein N-Myristoyl Classification by BONSAI with Insignificant Indexing Symbol
- A combined pathway to simulate CDK-dependent phosphorylation and ARF-dependent stabilization for p53 transcriptional activity
- A versatile petri net based architecture for modeling and simulation of complex biological processes
- XML documentation of biopathways and their simulations in Genomic Object Net
- Prediction of debacle points for robustness of biological pathways by using recurrent neural networks