[3dem] CASP13 Conference
Cathy Lawson
lawson at rcsb.rutgers.edu
Thu Sep 13 06:26:57 PDT 2018
Posted on behalf of the CASP team:
CASP13 Dec. 1-4, 2018 Riviera Maya, Mexico
Come and join us at CASP13, the Critical Assessment of protein Structure
Prediction conference!
Established in 1994, CASP is the first of now several challenges in
computational and structural biology where new predictive methods are
tested without an a priori knowledge of the answers.
In the 2018 CASP13 experiment, over 57,000 predictions were collected on
90 protein targets. The conference will feature prediction assessment
talks, reports from the best predictors, and keynote presentations.
Detailed program of the meeting will be available in mid-November, 2018.
Assessment of predictions:
* High accuracy models - Randy Read (Cambridge University, UK)
* Model topology - Matteo Dal Peraro (EPFL, Lausanne, Switzerland)
* Contact prediction - Andras Fiser (Albert Einstein College of
Medicine, New York, NY, USA)
* Model refinement - Randy Read (Cambridge University, UK)
* Assembly (quaternary structure and complexes) - Jose Duarte (RCSB, San
Diego, CA, USA)
* Model accuracy estimation - Chaok Seok (Seoul National University,
South Korea)
* Data assisted models - Gaetano Montelione (Rutgers, USA), Susan
Tsutakawa /Greg Hura (LBL, Berkeley, CA, USA), and Andras Fiser (Albert
Einstein College
of Medicine, New York, USA)
* Biological relevance of models – Rosalba Lepore (University of Basel,
Switzerland)
The keynote speakers represent two current areas of special interest in
CASP, machine learning /deep learning in structural biology and cryo-EM
driven modeling:
* David Koes (U Pittsburgh), is a pioneer in the application of
convolutional neural networks to molecular docking
* Wah Chiu (Stanford), is a leader in cryo-electron microscopy.
CASP13 will be held December 1-4, 2018, at the Iberostar Paraiso Maya 5*
resort (destination airport is Cancun - CUN).
Registration:http://predictioncenter.org/casp13/meeting.cgi
Please share this information with your colleagues.
Please contact Krzysztof Fidelis,kfidelis at ucdavis.edu, with any questions.
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