Zobrazeno 1 - 10
of 13
pro vyhledávání: '"V. G. Blinova"'
Publikováno v:
Biochemistry (Moscow), Supplement Series B: Biomedical Chemistry. 16:225-237
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36bc3ca882483f22ffc43e9490fed7be
https://doi.org/10.1134/s1990750822030039
https://doi.org/10.1134/s1990750822030039
Publikováno v:
Biomeditsinskaya Khimiya. 68:55-67
Regulatory T-cells CD4⁺CD25⁺FoxP3⁺CD127low (Tregs) play a key role in the maintenance of tolerance to auto antigens, inhibit function of effector T and B lymphocytes, and provide a balance between effector and regulatory arms of immunity. Patie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45a6689a81d19c0f58114d9b4e17d65f
https://doi.org/10.18097/pbmc20226801055
https://doi.org/10.18097/pbmc20226801055
Publikováno v:
Hygiene and sanitation. 96:970-974
The relationships between the capacity of chemicals to cumulate a toxic effect (functional cumulation) and the structure of their molecules were investigated. In the process of substantiation of safe levels (MAC) of substances in water this capacity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9f307d9af351cd562b6f67b3dd430c0
https://doi.org/10.18821/0016-9900-2017-96-10-970-975
https://doi.org/10.18821/0016-9900-2017-96-10-970-975
Autor:
V. G. Blinova, N. V. Kharchevnikova, Z. I. Zholdakova, V. I. Zhurko, D. Y. Fedortsova, D. A. Dobrynin
Publikováno v:
Automatic Documentation and Mathematical Linguistics. 51:20-26
Here we present the structure of a JSM intelligent system for toxicology. We report the results of data analysis regarding the functional cumulative activity of chemical compounds, based on which the degree of activity is predicted for unstudied comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ffa34d54cbb373b117765ca258762ad
https://doi.org/10.3103/s0005105517010022
https://doi.org/10.3103/s0005105517010022
Publikováno v:
Automatic Documentation and Mathematical Linguistics. 44:151-163
The intelligent analysis of the cytotoxic activities of trifluoro-substituted pyrazolo(1,5-a)pyrimidines was carried out using the strategies of the JSM method, viz., induction, analogy, and abduction. The cytotoxic activity of the compounds relating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef5bb40dec05b8237c81acb99b3bd0c0
https://doi.org/10.3103/s0005105510030076
https://doi.org/10.3103/s0005105510030076
Publikováno v:
Automatic Documentation and Mathematical Linguistics. 43:330-335
Prediction of the carcinogenicity of chemical compounds to rats was carried out by data mining analysis based on the logic of John Stuart Mill (JSM) and the fragmentary code of the substructure superposition (FCSS) data presentation language. The lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b1e9f2b1daa12217d3cb958c536da7
https://doi.org/10.3103/s000510550906003x
https://doi.org/10.3103/s000510550906003x
Publikováno v:
Automatic Documentation and Mathematical Linguistics. 43:286-291
Approaches to the standard presentation of the structural formulae of substances in the anticancer drug database of the Blokhin RCRC, RAMS have been described. These approaches provide the maximum appropriate use of the formulae in systems of biologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b10f376f2fba00a86cf3df948ad354
https://doi.org/10.3103/s0005105509050045
https://doi.org/10.3103/s0005105509050045
Autor:
V. G. Blinova, N. V. Kharchevnikova
Publikováno v:
Automatic Documentation and Mathematical Linguistics. 41:271-277
This paper gives a review of the results of the study of the chronic toxicity and carcinogenicity of chemical compounds using the JSM method for automatic generation of hypotheses. For analysis of the existence and degree of carcinogenicity, as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f590199ab6e9c06e5cead823959b0f60
https://doi.org/10.3103/s0005105507060064
https://doi.org/10.3103/s0005105507060064
Publikováno v:
Bioinformatics. 19:1201-1207
Motivation: A model for learning potential causes of toxicity from positive and negative examples and predicting toxicity for the dataset used in the Predictive Toxicology Challenge (PTC) is presented. The learning model assumes that the causes of to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6e54e9e916687ab3f774828501cad33
https://doi.org/10.1093/bioinformatics/btg096
https://doi.org/10.1093/bioinformatics/btg096
Autor:
N. V. Kharchevnikova, V. G. Blinova
Publikováno v:
Pharmaceutical Chemistry Journal. 34:208-214
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bdf348571498ef3b72b5314bd4c315e
https://doi.org/10.1007/bf02524599
https://doi.org/10.1007/bf02524599