Speaker: Ismael Rodriguez Rodriguez and Piotr Suwara

Topic: A novel approach for identifying protein crystals using machine learning: a leap in precision and efficiency

When: Monday, November 13, 2023, 10 AM- 11 AM ET

Abstract: Protein crystallization is still crucial in understanding the 3D structure of macromolecules such as proteins or antibodies. This step is essential in drug discovery and development, and often its main bottleneck. It is a time-consuming process which  requires conducting multiple experiments  at various conditions. Because of this, correctly identifying crystals is crucial for drug discovery.

In this talk, we present the recently published crystal structure of pAC65, a macrocyclic peptide that blocks the PD-1/PD-L1 pathway with comparable potency to FDA-Approved antibodies. Additionally, we introduce a novel machine learning model that is able to identify protein crystals with high recall (missing <5% of crystals) while retaining high precision.

Virtual: Zoom link