Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Chanita Kuseva"'
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
https://doi.org/10.1016/j.comtox.2019.03.002
Autor:
Tomasz Sobanski, Marin Georgiev, Atanas Chapkanov, Chanita Kuseva, Ksenia Tankova, Todor Pavlov, Terry W Schultz, Stela Kutsarova, Ovanes G. Mekenyan, Darina Yordanova, Andrea Gissi
Publikováno v:
Regulatory Toxicology and Pharmacology. 105:51-61
The Read-Across Assessment Framework (RAAF) was developed by the European Chemicals Agency (ECHA) as an internal tool providing a framework for a consistent, structured and transparent assessment of grouping of chemicals and read-across. Following a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19d2e15b0754537c27f408727a8f6418
https://doi.org/10.1016/j.yrtph.2019.03.018
https://doi.org/10.1016/j.yrtph.2019.03.018
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
https://doi.org/10.1016/j.comtox.2019.01.006
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
https://doi.org/10.1016/j.comtox.2018.12.003
Autor:
Chanita Kuseva, Valentin Marinov, Todor Pavlov, Todor Petkov, Atanas Chapkanov, Detelina Dimitrova, Tobias Wombacher, Sarah Mullen-Hinkle, Wisdom Zhu, Michael Siebold, Ovanes Mekenyan
Publikováno v:
Computational Toxicology. 23:100230
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bd70ccd8bdcd911e840f0f5e688c5b3
https://doi.org/10.1016/j.comtox.2022.100230
https://doi.org/10.1016/j.comtox.2022.100230
Autor:
Darina Yordanova, Stela Kutsarova, Chanita Kuseva, Ovanes G. Mekenyan, Stoyanka Stoeva, Aycel Mehmed, Atanas Chapkanov, Todor Petkov, Terry W Schultz, Daniela Cherkezova, Marin Georgiev
Publikováno v:
Computational Toxicology. 20:100194
As modules in the QSAR Toolbox become automated, operator control is diminished. Therefore, it becomes more crucial that evidence be provided that reveals the software meets the specification intended by the developers (i.e., verification) and the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae8d2939b491d06a48ecdc9a1e21c2c2
https://doi.org/10.1016/j.comtox.2021.100194
https://doi.org/10.1016/j.comtox.2021.100194
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
https://doi.org/10.1016/j.comtox.2021.100173
Publikováno v:
Computational Toxicology. 18:100160
Read-across is one of the most frequently used non-animal approaches for filling toxicological data gaps. There is a universal realization that considerations of the metabolic fates of the target substance and proposed source analogue(s) are importan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c503352f0a10d0d8ebf285aadcda1f2e
https://doi.org/10.1016/j.comtox.2021.100160
https://doi.org/10.1016/j.comtox.2021.100160
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
https://doi.org/10.1002/jat.3318
Autor:
Ovanes G. Mekenyan, Yordan H. Karakolev, N. D. Todorova, Todor Pavlov, Stanislav Temelkov, Chanita Kuseva, K. Gerova, R Vasilev, Tomasz Sobanski, Mike Rasenberg, S. Dimitrov, Atanas Chapkanov, Georgi Chankov, Robert Diderich, Aycel Mehmed
Publikováno v:
SAR and QSAR in Environmental Research. 27:203-219
The OECD QSAR Toolbox is a software application intended to be used by governments, the chemical industry and other stakeholders in filling gaps in (eco)toxicity data needed for assessing the hazards of chemicals. The development and release of the T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9002c0db63542664782693f8d0611650
https://doi.org/10.1080/1062936x.2015.1136680
https://doi.org/10.1080/1062936x.2015.1136680