Molecular Bioinformatics: Algorithms and Applications |
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Contents
Artificial Intelligence Expert Systems | 13 |
Predicate Logic Prolog Protein Structure | 111 |
Machine Learning of Concepts in Molecular Biology | 152 |
Evolutionary Computation | 211 |
Artificial Neural Networks | 272 |
Summary Conclusion Prospects | 291 |
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Common terms and phrases
1WSY a-helix pairs amino acid amino acid residues antibiotic application Artificial Intelligence artificial neural networks atoms attributes AutoClass basic bioinformatics BioSep Designer bond calculated cell classification clause clustering Cobweb/3 conformation constraints Crambin crossover database decision tree defined distance enzyme evaluation evolution strategy exons expert system Figure fitness function fitness values fragments gene genetic algorithm helices helix heuristics hydrogen hydrophobic implemented individuals input inside triangle interactions knowledge base Lisp Machine Learning methods molecular bioinformatics Molecular Biology molecule Molgen mutation n_cities node nucleotides objects operator output P-strand parameters patterns performance plasmid polar population problem Prolog protein structure purification r.m.s.-deviation rat-insulin real scalar representation result rules secondary structure selected side chain signal sequences simulated annealing solution splice step stereoprojection strand super-secondary structures symbolic tion topology torsion angles variables vector zero-point 0 rel-error
References to this book
Bibliographic information
| Title | Molecular Bioinformatics: Algorithms and Applications |
| Author | Steffen Schulze-Kremer |
| Edition | illustrated, reprint |
| Publisher | Walter de Gruyter, 1996 |
| ISBN | 3110141132, 9783110141139 |
| Length | 300 pages |
| Subjects | › › Science / Life Sciences / Biology |
| Export Citation | BiBTeX EndNote RefMan |