Name
Abstract | ||
|---|---|---|
Protein function is structurally determined, but analyzing the structure of a protein is both difficult and time-consuming. The authors look at the natural instincts of protein secondary structures, which used to be analyzed in terms of their statistical relationship with a single amino acid. Several schemas are offered for identifying regular patterns among various types of secondary protein structures. The schemas employ genetic algorithms based on a steady-state strategy. Two disjunctive data sets were used to verify fitness. The paper concludes with some illustrations of significant schemas produced as part of this study, with brief explanations of their significance. |
Year | Venue | Keywords |
|---|---|---|
2003 | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING | secondary protein structure,schema,steady-state genetic algorithm,rule extraction,sequence alignment,substitution matrix,voting mechanism,sequential pattern |
Field | DocType | Volume |
Steady state genetic algorithm,Computer science,Algorithm,Protein function,Natural language processing,Artificial intelligence,Schema (psychology),Substitution matrix,Protein secondary structure,Protein structure,Distributed computing | Journal | 19 |
Issue | ISSN | Citations |
6 | 1016-2364 | 0 |
PageRank | References | Authors |
0.34 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yen-Wei Chu | 1 | 17 | 2.00 |
| Jinn-moon Yang | 2 | 364 | 35.89 |