Come and join the CASP13 "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).
For details /suggestions please contact Krzysztof Fidelis: kfidelis@ucdavis.edu
