Stronger, tighter, and faster: designing new protein functions

Date & Time

Thursday, September 28th @ 5PM CEST | 6PM IDT | 8AM PDT

Webinar Description

Protein optimization delivers significant benefits across research, biopharma, and industrial applications. However, the design of stable, highly functional, and well-expressed proteins remains a challenge. 


In this webinar, Olga Khersonsky from the Weizmann Institute of Science, will describe how their novel computational protein optimization tools, PROSS and FuncLib, address these challenges to deliver stable enzymes and other proteins - resulting in improvements in function, expression, and thermal resistance.


Olga will share her experience through the exploration of worked examples and case studies and you will:

  • Discover the future of designing proteins with improved activity, stability, and expression
  • See how protein stability can be enhanced using PROSS methodology
  • Hear how FuncLib method supports the design of multipoint mutations in active sites and how HT-FuncLib utilizes machine learning to efficiently sample large sequence spaces
  • Learn why high-quality Twist Gene Fragments and Clonal Genes were chosen to support this research


Webinar Registration
Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions.

Speaker

Olga Khersonsky
Associate Staff Scientist | Weizmann Institute of Science

Olga Khersonsky did her B.Sc. in Chemistry at the Hebrew University in Jerusalem. In 2010, she completed her M.Sc. and Ph.D. in Biochemistry at the Weizmann Institute of Science, under the guidance of Prof. Dan Tawfik, specializing in enzymology, directed evolution, and protein engineering. After a post-doc in the group of Prof. David Baker at the University of Washington in Seattle (2010–2013), she joined the group of Sarel Fleishman at the Weizmann Institute. Olga’s major research interest is to design new and improved functions in proteins.
©. All Rights Reserved Twist Bioscience.