You are here

Home

News

Announcing the 2nd EMDataBank Model Challenge

EMDataBank is pleased to announce the 2015/2016 Model Challenge.

All members of the Scientific Community--at all levels of experience--are invited to participate as Challengers, and/or as Assessors.

Benchmark targets of varying size and complexity have been selected from recently deposited 3DEM structures based on current state-of-the-art detectors and processing methods, in the resolution range 2.2-4.5 Å.

Announcing the 2015 EMDataBank Map Challenge

EMDataBank/Unified Data Resource for 3DEM is pleased to announce the 2015 Map Challenge.

All members of the Scientific Community--at all levels of experience--are invited to participate as Challengers, and/or as Assessors.

Seven benchmark raw image datasets have been selected for the challenge. Six are selected from recently described single particle structure determinations with image data collected as multi-frame movies; one is based on simulated (in silico) images.

Model Challenge Workshop

The model challenge committee held a weekend workshop on June 20/21 with a selected group of cryoEM specialists and model software developers to share results and develop plans for the model challenge. The outcome of this meeting is the recommendation by this group to launch a community wide challenge to model 5-7 selected cryoEM density maps that have been reported to be determined at 3.0-4.5 Å gold-standard resolution.

EMDataResource Challenges

EMDataResource is hosting community-wide challenges to critically evaluate 3DEM methods that are coming into use, with the ultimate goal of developing recommendations for validation criteria associated with every 3DEM map deposited to the EM Data Bank (EMDB) and map-derived model deposited to Protein Data Bank (PDB). 

Pages

EMDataResource Validation Challenges are supported by NIH National Institute of General Medical Sciences

Please send your challenge questions, comments and feedback to challenges@emdataresource.org

Theme by Danetsoft and Danang Probo Sayekti inspired by Maksimer