Adnectin Ligand Affinity Optimization With Dual Combinatorial Positional Scan Libraries
Turechek, Luke J.
MetadataShow full item record
CitationTurechek, Luke J. 2018. Adnectin Ligand Affinity Optimization With Dual Combinatorial Positional Scan Libraries. Master's thesis, Harvard Extension School.
AbstractDiscovery of antibody and alternative-scaffold ligands such as Adnectins to a protein target of interest has long been important for assay development and drug discovery. Affinity maturation of candidates with poor binding kinetics can hinder development in a fast-paced environment, with traditional methods being very time consuming, and faster methods involving single point mutation scanning being unlikely to yield highly improved variants. This thesis describes a method for the rapid discovery of affinity-matured variants of an EGFR-binding Adnectin using a chip oligo-based dual mutant library design in combination with mRNA display and next-generation sequencing.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:42004030
- DCE Theses and Dissertations