title: Kohonen map as a visualization tool for the analysis of protein sequences: multiple alignments, domains and segments of secondary structures.
abstract: The method of Kohonen maps, a special form of neural networks, was applied as a visualization tool for the analysis of protein sequence similarity. The procedure converts sequence (domains, aligned sequences, segments of secondary structure) into a characteristic signal matrix. This conversion depends on the property or replacement score vector selected by the user. Similar sequences have small distance in the signal space. The trained Kohonen network is functionally equivalent to an unsupervised non-linear cluster analyzer. Protein families, or aligned sequences, or segments of similar secondary structure, aggregate as clusters, and their proximity may be inspected on a color screen or on paper. Pull-down menus permit access to background information in the established text-oriented way.
authors.affiliation: Max-Delbrück-Center for Molecular Medicine, Department of Bioinformatics, Berlin-Buch, Germany. hanke(bioinf.mdc-berlin.de
authors.forename: J
authors.initials: J
authors.lastname: Hanke
authors.forename: J G
authors.initials: JG
authors.lastname: Reich
mesh_terms: D000595:Amino Acid Sequence; D003201:Computers; D016208:Databases, Factual; D008969:Molecular Sequence Data; D015394:Molecular Structure; D016571:Neural Networks, Computer; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D016415:Sequence Alignment; D017421:Sequence Analysis / Q000379:methods* / Q000706:statistics & numerical data; D017386:Sequence Homology, Amino Acid; D012984:Software
chemical_list: D011506:Proteins