Hybrid Strategy of Bioinformatics Modeling (in silico): Biologically Active Peptides of Milk Protein
نویسندگان
چکیده
Bioinformatic analysis methods are an auxiliary tool in the preliminary stage of research into biocatalytic conversion proteins with predicted release biologically active peptides. However, there a number factors ignored current strategies for designing peptides, which prevents complete prediction their biological properties. This determines relevance objective, i.e. developing hybrid strategy bioinformatic modeling to study peptides milk protein. The new ranks key criteria based on high-performance algorithms proteomic database.
 featured scientific publications silico applied Modern taxonometric information retrieval were using RSCI, Scopus and Web Science databases.
 article introduces describes step by optimal algorithm studying protein takes account safety assessment all hydrolysis products, physicochemical technological relies analytical data profile, amino acid sequence that make up raw material, taking polymorphism, subsequent identification bioactive sites structure. selects enzyme preparations, as well models assesses peptide bioactivity databases. 
 At hydrolysis, scientifically predicts targeted stable complexes proven bioactivity, sensory characteristics. contributes accumulation necessary primary so reduce time cost laboratory experiments.
منابع مشابه
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ژورنال
عنوان ژورنال: ??????? ? ?????????? ??????? ???????????
سال: 2022
ISSN: ['2074-9414', '2313-1748']
DOI: https://doi.org/10.21603/2074-9414-2022-1-46-57