Screening compounds with image-based analysis is an important part in the processof drug discovery. It is an efficient way to screen compounds as it gives moreinformation than for example HTS. High-content screening as it is also called, hasreally progressed in recent years, as the field of data science evolves, and with it sodoes the efficiency of how images can be processed into information. Anotherimportant part of the drug discovery field is the family of receptors GPCRs, a largefamily of over 800 different receptors in humans. The reason GPCRs are importantin drug discovery is because of the large number of drugs targeting them. In thisexperiment we wanted to use image-based analysis to challenge drugs orcompounds that were said to be specific and see if they actually are that specific, orif we can see indications of the drug also working somewhere else. While the drugswe tested did not appear to cause any morphological perturbations large enough todistinguish them from the control, some drugs appear to cluster differently. Thismight suggest that they affect multiple targets, but it needs to be followed up upon inorder to draw any substantial conclusions.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-420682 |
| Date | January 2020 |
| Creators | Davidsson, Anton |
| Publisher | Uppsala universitet, Institutionen för biologisk grundutbildning |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0119 seconds