title: Sequential assignment of 2D-NMR spectra of proteins using genetic algorithms.
abstract: The application of genetic algorithms to the problem of the sequential assignment of two-dimensional protein NMR spectra is discussed. The problem is heavily underconstrained since in most cases more patterns are available than amino acid positions, and uncertainties may exist in the preliminary assignments. The results indicate that relatively large amounts of errors may be present in the input data for the genetic algorithm while useful results may still be obtained.
authors.affiliation: Catholic University of Nijmegen, The Netherlands.
authors.forename: R
authors.initials: R
authors.lastname: Wehrens
authors.forename: C
authors.initials: C
authors.lastname: Lucasius
authors.forename: L
authors.initials: L
authors.lastname: Buydens
authors.forename: G
authors.initials: G
authors.lastname: Kateman
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000818:Animals; D002417:Cattle; D005069:Evaluation Studies as Topic; D005103:Expert Systems; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008969:Molecular Sequence Data; D010455:Peptides / Q000737:chemistry; D011506:Proteins / Q000737:chemistry*; D014361:Trypsin Inhibitors / Q000737:chemistry
chemical_list: D010455:Peptides; D011506:Proteins; D014361:Trypsin Inhibitors; C030526:tendamistate