Výsledky vyhledávání - "Hristiana Ivanova"

Category consistency in the OECD QSAR Toolbox: Assessment and reporting tool to justify read-across

Autor: Todor Pavlov, Atanas Chapkanov, Marin Georgiev, Ovanes G. Mekenyan, Andrea Gissi, Chanita Kuseva, Georgi Chankov, Hristiana Ivanova, Darina Yordanova, Tomasz Sobanski, Terry W Schultz, Ksenia Tankova

Publikováno v: Computational Toxicology. 11:65-71

Read-across is an alternative or supplementary method to the use of test results (including test results from tests employing laboratory animals) for chemical hazard assessment. Its use by both the industrial and the regulatory communities has increa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::830924e22fce420eef6ac4792d2f9b0e
https://doi.org/10.1016/j.comtox.2019.03.002

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Automated and standardized workflows in the OECD QSAR Toolbox

Autor: Stanislav Temelkov, Chanita Kuseva, Irina Dermen, Darina Yordanova, Marin Georgiev, Ksenia Tankova, Andrea Gissi, Atanas Chapkanov, Tomasz Sobanski, Hristiana Ivanova, Todor Pavlov, Ovanes G. Mekenyan, Terry W Schultz

Publikováno v: Computational Toxicology. 10:89-104

Toxicological understanding and computational possibilities progress every year. The OECD QSAR Toolbox, an in silico system for predicting toxicity of chemicals, is regularly updated with up to data knowledge and functionalities. This expansion has m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00fa42f8ed3b4a8c6f9f270fb4ab7a98
https://doi.org/10.1016/j.comtox.2019.01.006

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Alert performance: A new functionality in the OECD QSAR Toolbox

Autor: Todor Pavlov, Terry W Schultz, Georgi Chankov, Yordan H. Karakolev, Tomasz Sobanski, Ovanes G. Mekenyan, Chanita Kuseva, Andrea Gissi, Hristiana Ivanova, Darina Yordanova

Publikováno v: Computational Toxicology. 10:26-37

Both industry and regulatory agencies use structure-activity relationships and read-across as toxicity assessment methods alternative to animal experimentation. A prerequisite for acceptance of the outcome of such in silico predictions is establishin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa1a64ceada1ab2bdbc00e715b8d2ea9
https://doi.org/10.1016/j.comtox.2018.12.003

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Criteria for quantitative assessment of metabolic similarity between chemicals. II. Application to human health endpoints

Autor: Gergana Poryazova, Antonia Kesova, Terry W Schultz, Todor Pavlov, Ovanes G. Mekenyan, Hristiana Ivanova, Darina Yordanova, Chanita Kuseva, Irina Dermen

Publikováno v: Computational Toxicology. 19:100173

Identifying a suitable source analogue for a particular target chemical is the critical tasks in the development of a read-across prognostication. Although chemical pairings for read-across data gap filling can be selected by various similarity metho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ebaf9a0a2b3c4b731d4c8630523abf0a
https://doi.org/10.1016/j.comtox.2021.100173

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Criteria for assessing the reliability of toxicity predictions: I. TIMES Ames mutagenicity model

Autor: Petko I. Petkov, Terry W Schultz, Hristiana Ivanova, O. Mekenyan

Publikováno v: Computational Toxicology. 17:100143

The strain-dependent bacterial reverse mutation assay (Ames test) is typically part of regulatory batteries of methods used for in vitro evaluation of substances eliciting mutagenicity via short-chain-length DNA damage. This study was undertaken in a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a5e613e39c44f233bef9fafc7a3c8d75
https://doi.org/10.1016/j.comtox.2020.100143

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Accounting for data variability, a key factor inin vivo/in vitrorelationships: application to the skin sensitization potency (in vivoLLNA versusin vitroDPRA) example

Autor: Ovanes G. Mekenyan, Stephanie Ringeissen, Chanita Kuseva, Joan Eilstein, I. Popova, Thierry Pauloin, S. Dimitrov, Yordan H. Karakolev, Ann Detroyer, Hristiana Ivanova, C. Piroird, Charles Gomes

Publikováno v: Journal of Applied Toxicology. 36:1568-1578

When searching for alternative methods to animal testing, confidently rescaling an in vitro result to the corresponding in vivo classification is still a challenging problem. Although one of the most important factors affecting good correlation is sa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2556c7c842aa29c0c3b57617c1f446ca
https://doi.org/10.1002/jat.3318

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Modeling hazard assessment of chemicals based on adducts formation. I. A basis for inclusion of kinetic factors in simulating skin sensitization

Autor: Terry W Schultz, Ovanes G. Mekenyan, Gergana Dimitrova, Chanita Kuseva, Hristiana Ivanova

Publikováno v: Computational Toxicology. 15:100130

Skin sensitization is a multi-mechanistic toxicological progression consisting of several molecular and cellular events, typically presented as an adverse outcome pathway. Briefly, it is based on the molecular initiating event – covalent interactio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9a0bc8c58fbde0bf30e7d703c8ef0a0d
https://doi.org/10.1016/j.comtox.2020.100130

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