Case Study: DEL Data Combined with In Silico Deep-Learning Model
Read our newest case study on enhancing predictivity of drug-target interactions. In collaboration with Cyclica, WuXi AppTec scientists engaged in a study to understand the synergies between DNA encoded library (DEL) screening and Cyclica’s MatchMaker™ deep-learning model for protein-ligand interactions. Our findings indicate that combining experimental DEL data with computational analysis from MatchMaker™ can lead to more accurate predictions than relying on each method individually.
Discover our comprehensive panel of DEL services.

Case Study_Synergy between DEL and Cyclica Matchmaker_28APR2023
Related Content
DNA-encoded libraries have become widely used in drug discovery, and several approaches for linking chemical compounds to DNA have been...
VIEW RESOURCEIn this webinar, WuXi AppTec scientists discuss the latest innovative technologies and products in early-stage drug discovery. Viewers will gain...
VIEW RESOURCE
