Machine-Learning-Based Data Analysis Method for Cell-Based Selection of DNA-Encoded Libraries.

ABSTRACT: DNA-encoded library (DEL) is a powerful ligand discovery technology that has been widely adopted in the pharmaceutical industry. DEL selections are typically performed with a purified protein target immobilized on a matrix or in solution phase. Recently, DELs have also been used to interrogate the targets in the complex biological environment, such as membrane proteins on live cells. However, due to the complex landscape of the cell surface, the selection inevitably involves significant nonspecific interactions, and the selection data are much noisier than the ones with purified proteins, making reliable hit identification highly challenging. Researchers have developed several approaches to denoise DEL datasets, but it remains unclear whether they are suitable for cell-based DEL selections

SUBMITTER: Hou R 

PROVIDER: S-EPMC10233830 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature