Technological Advances That Herald A Renaissance in Peptide Drug Discovery

October 15, 2020 11:00 AM - 12:00 PM

Webinar, click "live-stream" button to view

Add to Calendar 10/15/2020 11:00:56 AM 10/15/2020 12:00:56 PM Technological Advances That Herald A Renaissance in Peptide Drug Discovery

This forum will cover the area of therapeutic peptides and provide historical perspectives including the ups and downs of the field, current development trends, and future directions. We’ll discuss the role of artificial intelligence and machine learning in expanding the landscape of peptide drug discovery opportunities. And we’ll present a case study on targeting Pannexin 1 channels in disease. Questions are welcomed throughout the presentations and panel discussion.

Sponsored by the MassBio Drug Discovery forum working group.

NOTE: MassBio makes every effort to accommodate our entire community at each of our events. Please let us know at least 3 days in advance of the event if you require special accommodations, such as captioning.

Webinar, click "live-stream" button to view

This forum will cover the area of therapeutic peptides and provide historical perspectives including the ups and downs of the field, current development trends, and future directions. We’ll discuss the role of artificial intelligence and machine learning in expanding the landscape of peptide drug discovery opportunities. And we’ll present a case study on targeting Pannexin 1 channels in disease. Questions are welcomed throughout the presentations and panel discussion.

Sponsored by the MassBio Drug Discovery forum working group.

NOTE: MassBio makes every effort to accommodate our entire community at each of our events. Please let us know at least 3 days in advance of the event if you require special accommodations, such as captioning.

Bioinformatician, Nuritas
Alessandro Adelfio has a background in Computer Science with focus on Artificial Intelligence. After his Master's degree he has worked as machine learning engineer and software developer on different projects in the field of Ambient Intelligence. He moved from Italy to Ireland where he got a PhD in Bioinformatics with a thesis on machine learning and predictive models for protein structure and function. He was one of the early employees in Nuritas and has been instrumental in the development of the deep learning models for prediction of peptide bioactivities and properties. He has also been a key member in the development of the Nuritas software platform designed to follow the life-cycle of peptides from in-silico prediction to the market.