title: [Use of the computer simulation method of complementary amino acids base on a genetic code algorithm for the search for new peptide compounds belonging to tuftsin-like activity].
abstract: Methods of k-neighbours and neural networks were used for prediction of pharmacological effects of new compounds wits tuftsin-like activities. The tested compounds were constructed by the complementarity rule of genetic code algorithm. Five of seven substitutions with stereocomplement amino acids in the tuftsin sequence lead to new active compounds. Thus, the use of amino acid complementary code can be a helpful tool for the construction of a new immunomodulating peptide.
authors.affiliation: Institute of Bioorganic Chemistry and Oil Chemistry, National Academy of Sciences of Ukraine, Kyiv.
authors.forename: V V
authors.initials: VV
authors.lastname: Kholodovich
mesh_terms: D000465:Algorithms; D000596:Amino Acids / Q000032:analysis*; D003198:Computer Simulation; D005815:Genetic Code; D005816:Genetic Complementation Test; D009842:Oligopeptides / Q000235:genetics*; D017421:Sequence Analysis
chemical_list: D000596:Amino Acids; D009842:Oligopeptides
vernacular_title: Ispol'zovanie metoda komp'iuternogo modelirovaniia komplementarnosti aminokilsot na osnovanii algoritma geneticheskogo koda dlia poiska novykh peptidnykh soedineniĭ, obladaiushchikh taftsinopodobnoĭ aktivnost'iu.