Better Understanding of Amino Acid Substitutions Drives Antibody Optimization

Biologics scientists must identify the best protein sequences to drive target engagement, therapeutic efficacy, and bioreactor productivity. The challenge lies in understanding which different CDR region sequences correlate with or drive each of those characteristics. Most scientists use a labor-intensive process of extracting each of the CDR regions aligning them for comparison and then manually pouring over lists of antibody candidates in Excel.

In this webinar, we will showcase a more efficient process that allows scientists to more easily align their antibodies, analyze CDR regions without extracting them, and directly correlate specific amino acids with desirable characteristics. This approach takes advantage of the fact that humans are much more efficient at analyzing visual representations of information rather than textual ones. The result, is a new method that can drive biologic therapeutic development much more quickly, efficiently, and accurately.

Key takeaways:
  • Easily align antibodies, analyze CDR regions without extracting them, and directly correlate specific amino acids with desirable characteristics
  • Display and analyze biological sequences with a few clicks.
  • Drive biologic therapeutic development much more quickly, efficiently, and accurately.


Presenter:
Dan Weaver,
Product Manager, Lead Discovery, Screening & Sol Architect, PerkinElmer

Dr. Daniel C. Weaver is the Senior Product Manager and Solutions Architect for Research at PerkinElmer Informatics. Prior to joining PerkinElmer, Dr. Weaver was the Director of Scientific Computing at Array Biopharma, Inc. in Boulder, Colorado, where he led all aspects of scientific software development and acquisition. Over the course of the last decade, Dr. Weaver’s team delivered systems to support scientific endeavors ranging from target identification though drug discovery and into clinical development and translational medicine. In a previous life, Dr. Weaver was the Lead Scientist for Gene Expression Analysis at Genomica. He received his doctorate in developmental genetics from the University of Colorado, Boulder under the direction of Dr. William B. Wood where he studied patterning in early development.

On Demand Webinar