SORTCERY-A High-Throughput Method to Affinity Rank Peptide Ligands.

ABSTRACT: Uncovering the relationships between peptide and protein sequences and binding properties is critical for successfully predicting, re-designing and inhibiting protein-protein interactions. Systematically collected data that link protein sequence to binding are valuable for elucidating determinants of protein interaction but are rare in the literature because such data are experimentally difficult to generate. Here we describe SORTCERY, a high-throughput method that we have used to rank hundreds of yeast-displayed peptides according to their affinities for a target interaction partner. The procedure involves fluorescence-activated cell sorting of a library, deep sequencing of sorted pools and downstream computational analysis. We have developed theoretical models and statistical tools that

SUBMITTER: Reich LL 

PROVIDER: S-EPMC4394037 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature