| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Moret, Ed | |
| dc.contributor.author | Bredewout, Mirte | |
| dc.date.accessioned | 2022-03-17T00:00:34Z | |
| dc.date.available | 2022-03-17T00:00:34Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/614 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | Polypharmacology studies the design of multi-target drugs for complex diseases, drug design in the case of drug resistance (desensitisation) and the repositioning of known drugs. Computational methods are available to develop new drugs via a ligand-based, structure-based or network-based approach. We reviewed virtual screening methods and their use in multi-target drug design. | |
| dc.title | Virtual screening in multi-target drug design | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Molecular and Cellular Life Sciences | |
| dc.thesis.id | 2902 | |
