CYTPOWER: IMPLEMENTATION OF CYTOTOXIC POWER CONCEPT IN PYTHON
Currently existing methods and parameters are inadequate for representative and quanititative assessment of cytotoxic activity of chemical compounds. Recently, we have introduced a concept of cytotoxic power which provides an effective way to a reasonable estimation and comparative analysis of cytot...
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doaj-bbaa094785414734a7d9e83dd9399c852020-11-24T21:35:03ZengCifra Publishing HouseJournal of Bioinformatics and Genomics2530-13812018-11-014 (9)10.18454/jbg.2018.4.9.1105CYTPOWER: IMPLEMENTATION OF CYTOTOXIC POWER CONCEPT IN PYTHONMaksim Aleksandrovich Terpilovskii, Dr.0Nikolay Vasilievich Goncharov, Dr.1Sechenov Institute of Evolutionary Physiology and Biochemistry of Russian Academy of SciencesSechenov Institute of Evolutionary Physiology and Biochemistry, Saint-Petersburg, RussiaCurrently existing methods and parameters are inadequate for representative and quanititative assessment of cytotoxic activity of chemical compounds. Recently, we have introduced a concept of cytotoxic power which provides an effective way to a reasonable estimation and comparative analysis of cytotoxic activity of chemical agents. The basis of this concept is an integrative parameter that relies on important toxicological principles: dose of compound related to a cell number and exposure-time-response relationship of its activity. Herein, we propose a proof-of-concept implementation of our concept of cytotoxic power as a package developed in Python programming language. The package is free and available on GitHub repository.http://journal-biogen.org/article/view/105 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maksim Aleksandrovich Terpilovskii, Dr. Nikolay Vasilievich Goncharov, Dr. |
spellingShingle |
Maksim Aleksandrovich Terpilovskii, Dr. Nikolay Vasilievich Goncharov, Dr. CYTPOWER: IMPLEMENTATION OF CYTOTOXIC POWER CONCEPT IN PYTHON Journal of Bioinformatics and Genomics |
author_facet |
Maksim Aleksandrovich Terpilovskii, Dr. Nikolay Vasilievich Goncharov, Dr. |
author_sort |
Maksim Aleksandrovich Terpilovskii, Dr. |
title |
CYTPOWER: IMPLEMENTATION OF CYTOTOXIC POWER CONCEPT IN PYTHON |
title_short |
CYTPOWER: IMPLEMENTATION OF CYTOTOXIC POWER CONCEPT IN PYTHON |
title_full |
CYTPOWER: IMPLEMENTATION OF CYTOTOXIC POWER CONCEPT IN PYTHON |
title_fullStr |
CYTPOWER: IMPLEMENTATION OF CYTOTOXIC POWER CONCEPT IN PYTHON |
title_full_unstemmed |
CYTPOWER: IMPLEMENTATION OF CYTOTOXIC POWER CONCEPT IN PYTHON |
title_sort |
cytpower: implementation of cytotoxic power concept in python |
publisher |
Cifra Publishing House |
series |
Journal of Bioinformatics and Genomics |
issn |
2530-1381 |
publishDate |
2018-11-01 |
description |
Currently existing methods and parameters are inadequate for representative and quanititative assessment of cytotoxic activity of chemical compounds. Recently, we have introduced a concept of cytotoxic power which provides an effective way to a reasonable estimation and comparative analysis of cytotoxic activity of chemical agents. The basis of this concept is an integrative parameter that relies on important toxicological principles: dose of compound related to a cell number and exposure-time-response relationship of its activity.
Herein, we propose a proof-of-concept implementation of our concept of cytotoxic power as a package developed in Python programming language. The package is free and available on GitHub repository. |
url |
http://journal-biogen.org/article/view/105 |
work_keys_str_mv |
AT maksimaleksandrovichterpilovskiidr cytpowerimplementationofcytotoxicpowerconceptinpython AT nikolayvasilievichgoncharovdr cytpowerimplementationofcytotoxicpowerconceptinpython |
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1725946849354842112 |