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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Main Authors: Maksim Aleksandrovich Terpilovskii, Dr., Nikolay Vasilievich Goncharov, Dr.
Format: Article
Language:English
Published: Cifra Publishing House 2018-11-01
Series:Journal of Bioinformatics and Genomics
Online Access:http://journal-biogen.org/article/view/105
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spelling 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
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AT nikolayvasilievichgoncharovdr cytpowerimplementationofcytotoxicpowerconceptinpython
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