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From: chemistry-request at ccl.net
To: chemistry-request at ccl.net
Date: Wed Nov 21 15:24:00 2018
Subject: 18.11.29 [CCG Webinar] Knowledge-based optimization of antibody models | Nov. 29 & Dec. 6
Join us for a FREE live webinar: Analyzing and Optimizing Antibody Models using a Knowledge Based-Approach
 
The webinar will cover approaches for analyzing and optimizing antibody models using a knowledge-based approach. The use of a specialized antibody structural database in conjunction with the MOE Project Search application for generating advanced queries that address N-glycosylation liabilities, hydrophobic patch driven aggregation, structural epitope identification and CDR H3 modeling will be described. In addition, a method for the high-throughput modeling of antibody models will be discussed.
 
Thursday, November 29
10:00 a.m. EST | Analyzing and Optimizing Antibody Models using a Knowledge Based-Approach
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- Speaker: Freya Klepsch, Applications Scientist, Chemical Computing Group
- Moderator: Andrew Henry, Principal Scientist, Chemical Computing Group
- Register at: https://bit.ly/2QajYuc 
 
Thursday, December 6
2:00 p.m. EST | Analyzing and Optimizing Antibody Models using a Knowledge Based-Approach
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- Speaker: Valerie Campagna-Slater, Applications Scientist, Chemical Computing Group
- Moderator: Freya Klepsch, Applications Scientist, Chemical Computing Group
- Register at: https://bit.ly/2DAZXGh  
 
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About MOE: MOE is a leading drug discovery software platform that integrates visualization, modeling and simulations, as well as methodology development, in a single package. MOE scientific applications are used by medicinal chemists, biologists, crystallographers and computational chemists in pharmaceutical, biotechnology and academic research. For a more detailed software overview, please visit: http://www.chemcomp.com/software
Try MOE: Request a trial version of MOE at http://www.chemcomp.com/Product-Trial_Request.htm
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