[UCR_DataScience] Data Science talk by Prof. Adam Godzik, Friday November 4th, 12-1pm, MRB Seminar Room

[tsotras at cs.ucr.edu]

The next Data Science seminar will be on Friday, November 4th, 2022,
12:00-1:00pm at the MRB Seminar Room (1st floor).

**** Pizza and refreshments will be provided ****

To keep track of the number of attendees, please *register* at:
https://www.eventbrite.com/e/data-science-talk-tickets-454237906807

The talk will be given by Prof. Adam Godzik, School of Medicine, UCR

Title:
How to survive Google taking over your research field and (perhaps) thrive


Abstract:
Two years ago, Google team made an incredible advance in structural
biology, practically solving the protein folding problem (predicting
protein structure from its amino acid sequence). The AI-based AlphaFold
algorithm was shown to produce protein models comparable in quality to the
experimental ones. It shaked up the field of structural biology, which now
must contend with having a choice between spending months on experimental
structure determination, or pick up a ready AlphaFold model. However,
while amazingly successful, AlphaFold doesn’t address several important
questions about proteins, the main one being the existence of alternative
conformations. Alphafold is based on the one sequence - one structure
paradigm and ignores or rejects all information not compatible with this
paradigm. In this seminar I want to highlight a possible path to use some
of this information and seek collaborations with deep learning experts to
use the computational tools from the AlphaFold infrastructure (or to
invent new ones) to address some really fascinating questions in
structural biology.



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Sponsored by the UCR Data Science Center, the purpose of the Data Science
Seminars is to foster collaborations between "core" Data Science faculty
(from CSE/ECE/Stat Departments) and faculty/visitors from other sciences
that face Data Science problems in their research. These informal
gatherings are open to interested faculty and graduate students. Each
meeting will start with a talk describing research problems and then a
discussion will follow for questions, open problems, ideas for possible
collaborations etc.

A full list of previous seminars appears at:
http://datascience.ucr.edu/seminars

Please forward this email to other colleagues or graduate students in your
lab that may be interested. Moreover, if you are interested in giving a
Data Science related talk, please contact me.

Sincerely,
Vassilis Tsotras
Professor, CSE Department
Director, Data Science Major