Abstract
Autocrine based selections from intracellular combinatorial antibody and peptide libraries have proven to be a powerful method for selection of agonists and identification of new therapeutic targets. However, success requires a case-by-case construction of a robust selection system which is a process that can be time consuming and expensive. Here we report a general system that takes advantage of the chemical rate acceleration caused by approximation of a membrane tethered ligand and its receptor. The system uses an artificial signal transduction and is, thus, agnostic to the endogenous signal transduction of the receptor–ligand system. This method allows analysis of receptor–ligand interactions and selection of molecules from large libraries that interact with receptors when they are in their natural milieu.
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