Version 1
: Received: 5 September 2024 / Approved: 11 September 2024 / Online: 11 September 2024 (17:09:18 CEST)
How to cite:
Sinha, S. Machine Learning Discoveries of ABC Transporter-X Synergy in ETC-1922159 Treated Colorectal Cancer Cells. Preprints2024, 2024090908. https://doi.org/10.20944/preprints202409.0908.v1
Sinha, S. Machine Learning Discoveries of ABC Transporter-X Synergy in ETC-1922159 Treated Colorectal Cancer Cells. Preprints 2024, 2024090908. https://doi.org/10.20944/preprints202409.0908.v1
Sinha, S. Machine Learning Discoveries of ABC Transporter-X Synergy in ETC-1922159 Treated Colorectal Cancer Cells. Preprints2024, 2024090908. https://doi.org/10.20944/preprints202409.0908.v1
APA Style
Sinha, S. (2024). Machine Learning Discoveries of ABC Transporter-X Synergy in ETC-1922159 Treated Colorectal Cancer Cells. Preprints. https://doi.org/10.20944/preprints202409.0908.v1
Chicago/Turabian Style
Sinha, S. 2024 "Machine Learning Discoveries of ABC Transporter-X Synergy in ETC-1922159 Treated Colorectal Cancer Cells" Preprints. https://doi.org/10.20944/preprints202409.0908.v1
Abstract
Often, in biology, we are faced with the problem of exploring relevant unknown biological hypotheses in the form of myriads of combinations of factors/genes/proteins that might be affecting the pathway under certain conditions. In colorectal cancer (CRC) cells treated with ETC-1922159, many genes were found up and down regu- lated, individually. A recently developed search engine ranked combinations of ATP- binding cassette (ABC) transporters-X (X, a particular gene/protein) at 2nd order level after drug administration. These rankings reveal which ABC-X combinations might be working synergistically in CRC. If found true, oncologists can further test the com- bination of interest in wet lab and determine the mechanism of functioning between the ABC and X. In this research work, we cover combinations of ABC with ubiquitin- conjugating enzymes (UBE2), Interleukin (IL), BCL and Caspase (CASP).
Keywords
ATP-bindingcassette(ABC)transporters,Porcupineinhibitor ETC-1922159, Sensitivity analysis, Colorectal cancer
Subject
Computer Science and Mathematics, Mathematical and Computational Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
