Exploring Biomolecular Structure and Function with Machine Learning

The Simons Foundation’s mission is to advance the frontiers of research in mathematics and the basic sciences.

Simons Foundation

Registration for this lecture will close at 2 p.m. the day of the event. Review the complete list of entrance requirements below.

<h2>This lecture is part of the Machine Learning in the Natural Sciences Presidential Lecture Series in Mathematics and Computer Science.</h2>

We can think about biodiversity from an evolutionary and organismal perspective, cataloging and modeling biodiversity of interacting species. Another useful way to think about biodiversity is to think of the diversity of biological sequences and structures. Multiple large-scale public and private efforts have sequenced, using automated DNA sequencing technology, a vast number of genomes and fragments of genomes that span the tree of life. Within those genomes are sequences that code for a very large assortment of molecular structures (RNA and protein structures) and functions (everything from catalysts to proteins that process cellular information).In this Presidential Lecture, Richard Bonneau will discuss new machine-learning methods for characterizing these biomolecules. He will discuss how these methods lead to methods for designing new molecules not seen before in nature. The methods presented will lie at the intersection of modeling the physics of protein structure and the evolution of protein sequences, using the power of machine learning to integrate these two disparate but equally important ways of capturing biological structure-function relationships. A key objective of this work is to leverage models that, having trained on bio-diverse sequences and structures, can be used to design new therapies. Lastly, Bonneau will discuss recent machine learning-powered drug discovery work that aims to dramatically improve the effectiveness, safety, and cost of new therapies.

<a href="https://www.gene.com/scientists/our-scientists/richard-bonneau" title="https://www.gene.com/scientists/our-scientists/richard-bonneau" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Bonneau</a> leads Prescient Design, a molecular design accelerator at Genentech (a member of the Roche Group) that pioneers new methods for combining machine learning and molecular modeling. Bonneau’s research spans multiple levels of biological structure learning and modeling biological networks to predicting and designing macromolecular and biomimetic structure. Rich received his Ph.D. at the University of Washington, Seattle, where he pioneered new methods to predict biomolecular structure as a member of the Rosetta project. At Genentech Research and Early Development (gRED), Bonneau and his team build new methods for applying machine learning to design, molecular composition, function and interfaces in ways that span all drug modalities.

REGISTRATION REQUIREMENTS<ul><li>You must be 18+ to attend this event</li><li>Registration will close at 2:00 p.m. the day of the event</li><li>Please only register yourself and use your complete first and last name as it appears on your photo ID when filling in the form.</li><li>If you have a guest you would like to bring with you to this event, please send them the link to register so they can sign up on their own.</li></ul>BUILDING ENTRY PROTOCOL<ul><li>Provide valid photo ID</li><li>Present your digital or printed Eventbrite ticket confirmation; make sure it is for the correct event and that the name on it matches your ID.</li><li>Limited seating is available for this in-person event and is on a first-come, first-served basis.</li><li>All attendees must be pre-registered. Walk-in entry will be denied.</li></ul>Please note that by entering the Simons Foundation, you are attesting that you are not experiencing COVID symptoms and are not knowingly positive for COVID.SCHEDULEDoors open: 5:30 p.m. (No entrance before 5:30 p.m.)Lecture: 6:00 p.m.–7:00 p.m. (Admittance closes at 6:20 p.m.)The Gerald D. Fischbach Auditorium complies with the Americans with Disabilities Act and offers accessible seating to visitors with special access needs.

<a href="https://www.simonsfoundation.org/sf-events/?type=simons-foundation-lectures" title="https://www.simonsfoundation.org/sf-events/?type=simons-foundation-lectures" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Presidential Lectures</a> are free public colloquia at the Simons Foundation centered on four main themes: Biology, Physics, Mathematics and Computer Science, and Neuroscience and Autism Science. These curated, high-level scientific talks feature leading scientists and mathematicians and are intended to foster discourse and drive discovery among the broader NYC-area research community. We invite anyone interested in the topic to join us for this weekly lecture series.

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Exploring Biomolecular Structure and Function with Machine Learning

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Exploring Biomolecular Structure and Function with Machine Learning

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