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Maksim Aleksandrovich Terpilovskii, Dr.
Nikolay Vasilievich Goncharov, Dr.


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.

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TERPILOVSKII, Maksim Aleksandrovich; GONCHAROV, Nikolay Vasilievich. CYTPOWER: IMPLEMENTATION OF CYTOTOXIC POWER CONCEPT IN PYTHON. Journal of Bioinformatics and Genomics, [S.l.], n. 4 (9), nov. 2018. ISSN 2530-1381. Available at: <>. Date accessed: 21 feb. 2020. doi:
Novel computational tools and databases
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