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

[tsotras at cs.ucr.edu]

Reminder about the Data Science Seminar by Prof. Adam Godzik, tomorrow
Friday at noon.

Please register using the link below if you plan to attend.

Sincerely,
V. Tsotras

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> 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.
>
>
>
> ------------------------------------
> 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
>
>
>