Join us on November 18 to learn how to use modern computational methods to optimise your approach to protein stability

Click the button below to register
November 18, 2021, 3pm GMT

Register now

Guido Scarabelli will present this free to sign up to webinar, showcasing how physics based Free Energy Perturbation (FEP) methods can accurately predict protein stability and improve the potential commercial success of biotherapeutics.

Physical stability is a key determinant in the clinical and commercial success of biological therapeutics, vaccines, diagnostics, enzymes and other protein-based products. The development of accurate computational methods for predicting protein stability can reduce the cost and time of experimental mutant design campaigns.

In this hour-long webinar, Scarabelli will demonstrate the success of FEP as a rigorous physics-based computational method, showing how it quantitatively evaluates the relative thermodynamic stability of a diverse set of proteins on a dataset consisting of 328 single point mutations spread across 14 distinct protein structures. He will wrap up the webinar with a live question and answer session.

By the end of this webinar you will have learned…

  • About the effects of simulation conditions on computational predictions
  • FEP methods to reduce cost and time evaluating mutant constructs
  • How experimental techniques for measuring the impact of amino acid residue mutation on the stability of proteins can be time consuming and costly

Portrait photo of Schrodinger senior scientist Guido Scarabelli

Speaker: Guido Scarabelli, senior scientist

Guido Scarabelli graduated in 2010 from the University of Milan, Italy, where he worked on the computational characterisation of antibody binding sites. He then moved to Mount Sinai School of Medicine in New York, US, and then to the University of Michigan where he used enhanced sampling molecular dynamics simulations to characterise peptides and motor proteins. Following that, he joined Schrödinger to work on the characterisation of the effect of mutations on protein structures.

schrodinger company logo

Schrödinger is a leading provider of advanced molecular simulations and enterprise software solutions and services for its clients in the materials science research space. Schrödinger also establishes deep partnerships and collaborations with companies in such fields as petrochemical, semiconductor, aerospace, and specialty chemicals. Founded in 1990, Schrödinger has nearly 500 employees and operations in the United States, Europe, Japan, and India, as well as business partners in China and Korea.

Click the button below to register
November 18, 2021, 3pm GMT

Register now