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.
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Case Study_Synergy between DEL and Cyclica Matchmaker_28APR2023
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VIEW RESOURCEDNA-encoded library (DEL) technology has been recognized as a major screening method with unique advantages for offering vast chemical diversity...
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