Protein Engineering Global – Agenda Now Live
Entering the fourth wave of protein engineering, increasingly more companies are engaging with ML and AI to progress R&D projects and entrants are shifting their focus to cover in depth DBTL cycle analysis.
On October 27—28 in San Jose, Protein Engineering Global returns to a face-to-face setting to uncover new and emerging practices for protein and enzyme engineering. The event unites industry leaders to forward the latest innovations driving towards more sustainable, selective, and valuable processes and applications.
Download the agenda here.
The series brings together a global line up of biocatalyst and protein engineering specialists to share lessons from pharmaceutical, flavour & fragrance, consumer goods, food & beverage, and agrochemical sectors. Expand your commercial opportunities and market growth by learning what new industry sectors are seeing the benefit of enzyme engineering to synthesize unprecedented molecules of interest.
The event will help attendees understand the challenges and requirements within protein, enzyme, and strain engineering R&D projects including scale up processes, next generation mutant library screening, and improvement of machine learning and AI algorithms to optimize proteins for industrial applications. As well as, assisting to expand commercial opportunities and market growth by learning from various industry sectors to understand the benefit of protein engineering for synthesizing unprecedented and non-natural molecules of interest as well as engage and network with these industries to form new third-party collaborations. Likewise, it’s an opportunity for the industry to advance their knowledge of capabilities within deep-learning, molecular dynamics, and process development through deep dives within these crucial focus areas.
Hearing from 20+ industry leading speakers such as Kevin Yang, at Microsoft who will discuss incorporating developments in deep learning, computational biology, and AI within protein engineering, Deborah Marks from Harvard Medical School will talk about variant prediction using autoregressive generative models in nature and Toni Lee, Solugen who share how to creating carbon negative, environmentally friendly chemicals with uncompromised performance.
Registration is open, click here to secure your place.
Past attendees of Protein Engineering:
