Results of modeling of pharmaceuticals mixtures toxicity with deviation ratio and best-fit functions models using Saccharomyces cerevisiae yeast as model organism - Open Research Data - Bridge of Knowledge

Search

Results of modeling of pharmaceuticals mixtures toxicity with deviation ratio and best-fit functions models using Saccharomyces cerevisiae yeast as model organism

Description

The research was concerned with verifying the impact of binary mixtures of nine pharmaceuticals against a selected organism, i.e., the yeast Saccharomyces cerevisiae. S cerevisiae is used as a model organism in the monitoring of endocrine disruptors in environmental and reference samples in Xenometrix® systems - XenoScreen®.  Tested pharmaceuticals, namely: diclofenac (sodium salt), oxytetracycline, hydrochloride, fluoxetine hydrochloride, chloramphenicol, ketoprofen, progesterone, estrone, androstenedione and gemfibrozil, are widely used in various therapeutic treatments. 
To investigate endocrine potential of mixture of drugs slightly modified protocol of XenoScreen YES/YAS® was utilized, which uses genetically modified yeast cells of Saccharomyces cerevisiae.
Studies were conducted between 2015.
These results are part of the manuscript published in Science of the Total Environment (https://doi.org/10.1016/j.scitotenv.2016.07.186)

Dataset file

results YESYAS.zip
622.9 kB, S3 ETag 1596f77eeafa2626cec6304adb12d4bd-1, downloads: 1
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file results YESYAS.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Raw data:
Data contained in dataset was not processed.

Details

Year of publication:
2024
Verification date:
2024-02-28
Creation date:
2015
Dataset language:
English
Fields of science:
  • biological sciences (Natural sciences)
  • Earth and related environmental sciences (Natural sciences)
  • chemical sciences (Natural sciences)
DOI:
DOI ID 10.34808/jxwr-f524 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

Keywords

References

Cite as

seen 35 times