PepTalk’s Antibody Discovery & Engineering pipeline offers a forum for protein scientists working to quickly and efficiently discover and develop differentiated biotherapeutics for unmet medical needs. Two tracks
are dedicated to the discipline of intelligent antibody discovery, with the first exploring new capabilities in the core technologies of next-generation sequencing and single cell analysis, and the second considering the integration of these tools
into computational and machine learning models. The week concludes with a full track dedicated to creative approaches to engineering novel modalities and resolving significant targeting challenges.
January 16-17
Intelligent Antibody Discovery Part One
January 17-18
Intelligent Antibody Discovery Part Two
January 19-20
Creative Protein Engineering
Keynote Presentations:
Near-Term Vision for Applications of Machine Learning in Biopharmaceutical R&D
Tommaso Biancalani, PhD, Director and Senior Scientist, AI/ML, Genentech, Inc.
Deep Learning in Antibody Engineering
Jeffrey J. Gray, PhD, Professor & Research Mentor & Outreach Advisor, Chemical & Biomolecular Engineering, Johns Hopkins University
Evolvability and Developability in Synthetic Scaffolds
Benjamin J. Hackel, PhD, Associate Professor, Chemical Engineering & Materials Science, University of Minnesota
If you are working in the following areas join the PepTalk community:
- Antibody Discovery
- Antibody Engineering
- Antibody Technologies
- Biologics Development
- Biotherapeutics Development
- Cellular Engineering
- Development
- Protein Engineering
- Protein Sciences
- Regulatory Affairs
- Research