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PubMed · 9606847

[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].

V V Kholodovich
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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.

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AlgorithmsAmino AcidsComputer SimulationGenetic CodeGenetic Complementation TestOligopeptidesSequence AnalysisEnglish AbstractJournal Article

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V V Kholodovich. [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].. https://pubmed.ncbi.nlm.nih.gov/9606847/

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