WHAT'S INSIDE
Upcoming Webinar |  Enabling Technologies for Targeted Protein Degradation
 New Service   Chem-on-Demand
On-Demand Webinar |  NASH Animal Models and Their Clinical Relevance
New Innovative Solution   Novel DNA compatible Pictet-Spengler Reaction
DEL Technology| DELFinder, a Powerful Tool for Tracking DEL Technology
Resources | Target to Hit Finding:New Methods in Fragment-Based Drug Discover
Upcoming webinar | Sept. 16th
During this webinar, we will discuss the latest in drug discovery platforms that support the ‘degrader’ approach.

We will present tools and strategies implemented at WuXi AppTec to discover and characterize new molecules using appropriate hit finding, discovery chemistry, structural biology, biochemical, and DMPK tools.

Quantum Mechanics (QM) and Artificial Intelligence (AI) tools for chemistry are evolving at a tremendously fast pace and have proven to be invaluable tools for organic and medicinal chemists. 

Would you like to predict organic reaction outcomes accurately? Design synthetic sequences with higher rate of success? Download our new Quantum Mechanics eBook to understand how.
Unleash the magic! Follow our weekly series , Quantum Mechanics Mondays on LinkedIn , as we demonstrate how QM can be applied.
Chem-on-Demand is the new service provided by WuXi AppTec offering synthetic chemistry, compound design, and project management to academic researchers working on novel biology targets. Partner clients who employ this new service enjoy high productivity, superb quality, fast speed, and excellent reliability.
Join us to learn more on AI-aided quantitative histopathology using two-photon excitation and second harmonic generation (TPE/SHG) technology. Our experts will address its application to the analysis of hepatic fibrosis in NASH animal models.
In addition, we will discuss the efficacy studies of compounds that are currently in clinical trials in a selected NASH model, and how these results shed light on the pathophysiology of NASH.

With the rational design of the on-DNA indole substrates, we have developed the first DNA-compatible Pictet-Spengler reaction for a variety of aldehydes. A DNN model has been developed to predict the reaction conversion rate for the building blocks. This was the first example of applying machine learning for the building block selections of the corresponding on-DNA reactions for DNA encoded library synthesis.


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Watch this webinar to review the advantages and limitations of fragment based drug discovery, the importance of protein quality and protein construct, and the fragment-to-hit optimization processes