Uncovering Ligand Binding Determinants in GPCRs 2026 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis

Place, publisher, year, edition, pages

2026. , p. 45

Keywords [en]

GPCRs, Machine Learning, ML, Rule-based Models, Ligand selectivity, GPCR determinants, binding site, receptor ligand interactions, gene therapy, receptor engineering

National Category

Bioinformatics and Computational Biology Structural Biology Bioinformatics (Computational Biology) Biochemistry Medical Biotechnology (Focus on Cell Biology, (incl. Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)

Identifiers

URN: urn:nbn:se:uu:diva-589345OAI: oai:DiVA.org:uu-589345DiVA, id: diva2:2070017

Educational program

Master Programme in Bioinformatics

Presentation

2026-06-08, EBC, Lärosal 4, Evolutionsbiologiskt centrum (EBC), Norbyvägen 16, 752 36, Uppsala, 08:00 (English)

Supervisors

Examiners

Available from: 2026-06-11 Created: 2026-06-11 Last updated: 2026-06-11Bibliographically approved

Open Access in DiVA

By organisation

Computational Biology and BioinformaticsBiology Education Centre

On the subject

Bioinformatics and Computational BiologyStructural BiologyBioinformatics (Computational Biology)BiochemistryMedical Biotechnology (Focus on Cell Biology, (incl. Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)

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