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Offer for epidemiology research on COVID-19 - first projects on board

Jülich, 30 April 2020 (Update):

The following projects have applied for JSC's offer of computing time and support on its HPC facilities and started their work.

 

PI, AffiliationProject title
Dr. Maria Vittoria Barbarossa,
University of Heidelberg
Systemic epidemiological analysis of the COVID-19 epidemic
Prof. Paolo Carloni,
FZJ / IAS-5
Targeting 2019-nCoV proteins: a massively parallel approach in Jülich , in close collaboration with CINECA.
Prof. Birgit Strodel,
FZJ / IBI-7
COVID-19: Search for competitive inhibitors of the COVID-19 main protease enzyme
Prof. Erich Wanker,
Max-Delbrück-Centrum
High-throughput small molecule docking to SARS-CoV-2 proteins
Prof. Gordon Pipa,
University of Osnabrück
Modelling Covid 19 spatio-temporal dynamics
Press release of 23 Sept 2020: New Model for District-Based Coronavirus Forecasts
Dr. Alexander Viguerie,
University of Pavia, Italy
Simulation of spatio-temporal Covid-19 spread using a coupled diffusion-SEIR model
Prof. Valentin Gordeliy,
FZJ / IBI-7
Discovery of inhibitors of SARS-CoV-2 protein E through modeling and virtual ligand screening
Prof. Holger Gohlke,
FZJ / JSC
Targeting the interaction of the SARS-Cov2/ACE2 complex with small molecule inhibitors
Prof. Adolfo Poma,
Polish Academy of Sciences, Poland
Exploring large conformational changes of the SARS-CoV-2 Spike protein in complex with ACE2 receptor
Prof. Alexander Schug,
FZJ / JSC
Computational investigation of the inhibitory action of a hexapeptide on the viral entry of the Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2)
Dr. Rafael J. Villanueva,
Universitat Politècnica de Valéncia, Spain
Calibration of the parameters of a network model for studying the transmission dynamics of the SARS-CoV-2
Dr. Jenia Jitsev,
FZJ /JSC
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images