Following ground-breaking developments in 2018 (CASP13), CASP14 will
present another round of exciting progress in the field. The conference
will be virtual and will run from November 30 through December 4, 2020.
There will be a limited number of talks and discussions each day,
lasting a total of not more than 4 hours. The session times are
10:00AM-2:00PM (EST); 16:00-20:00 (CET). Poster breakouts and extra
discussions will be arranged before and after the formal sessions.
The purpose of the conference is to analyze and discuss the outcome of
the CASP14 community experiment. Assessors will report on the accuracy
of protein structure modeling in a number of categories, including
three-dimensional structure, structure refinement, modeling of protein
complexes, and the ability of models to provide functional insight. Deep
learning has already made a major impact in this field and will be a
theme of the meeting. In addition to the assessments, there will be
talks from modeling groups, posters, round tables, and extensive
discussions. The program is being finalized and will be available on the
Prediction Center website.
We hope that the conference will generate ongoing interest group
activities. There will be a follow-up in-person meeting next summer,
Covid-19 permitting.
Register for CASP14 using the Prediction Center website
https://predictioncenter.org/casp14
CASP14 organizers
John Moult, Krzysztof Fidelis, Andriy Kryshtafovych, Torsten Schwede,
Maya Topf
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