In this webinar, learn from a breadth of experience in synthetic biology and machine learning to address commercial needs — from codon optimization to the next generation of protein therapeutics.
There is a critical need for not only high quality DNA but also high value DNA in engineering biologics. The speakers will expand on building solutions for the next generation of synthetic biology challenges, focusing on codon and vector optimization algorithms. They will share the successful integration of machine learning tools and empirical measurement to enable a novel protein engineering platform that has yielded many successes in various industries over the past decade. In recent years, this unique AI-based GPS platform has been increasingly turned towards the engineering of protein based biological drugs.
Join this webinar for an overview of a novel protein engineering platform as well as case studies on how it has been applied to engineer proteins with novel functionality.
Speaker
Sridhar Govindarajan, Ph.D., Co-Founder and CIO, ATUM
As ATUM’s Co-founder and CIO, Dr. Sridhar Govindarajan leads the company’s automation and protein engineering efforts. He has more than 20 years of scientific computing experience. Prior to his current position, Govindarajan led the computational research in optimizing directed evolution technologies at Maxygen, Inc., and was a Systems Architect at EraGen Biosciences. Dr. Govindarajan was a Junior Research Fellow at the Indian Institute of Technology (IIT)’s Department of Chemistry and received his PhD in Computational Chemistry/Biophysics from the University of Michigan’s Department of Chemistry.
Message PresenterWho Should Attend?
Attendees from the following departments or fields interested in learning about the utilization of AI in engineering biologics:
- DNA and Protein Engineering
- Biomedical Engineering
- Drug Discovery
- Bioinformatics
- Computational Biology
- Manufacturing (Pharmaceutical & Biotechnology)
- Synthetic Biology
- Commercialization (Pharmaceutical & Biotechnology)
- R&D
What You Will Learn
Attendees will learn about:
- Utilizing AI and machine learning in the engineering of biologics, from discovery to manufacturing
- A unique AI-based GPS platform and its application in engineering protein-based biological drugs
- The integration of machine learning tools and empirical measurement in a novel protein engineering platform
Xtalks Partner
ATUM
ATUM is a fully integrated CRDO (Contract Research Development Organization) biotechnology industry leader who over the last two decades has served our clients by delivering the highest quality Gene Design & Gene Synthesis, Protein Production, Protein Engineering, Cell Line development, using our own proprietary Leap-In Transposase technology and Master Cell Banking. With a state-of-the-art machine learning platform, we take you from sequence to MCB with a click of the button. ATUM provides a continual commitment to innovation where our services are built on bioengineered solutions to bring speed to market, supporting you from pre-clinical through IND. Contact us today for more information at atum.bio.
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