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EXaSCale smArt pLatform Against paThogEns for Corona Virus (EXSCALATE4CoV)

Project
The EXSCALATE4CoV (E4C) project aims to exploit the most powerful computing resources currently based in
Europe to empower smart in-silico drug design. Advanced Computer-Aided Drug Design (CADD) in combination
with the high throughput biochemical and phenotypic screening will allow the rapid evaluation of the simulations
results and the reduction of time for the discovery of new drugs. Against a pandemic crisis, the immediate
identification of effective treatments have a paramount importance. First, E4C will select through the EXSCALATE
platform, the most promising commercialized and developing drugs safe in man. Second, select from >500 billion
molecules new pan coronavirus inhibitors. The huge computational resource, therefore the activities will be supported
and empowered by three of the most powerful computer centers in Europe: CINECA, BSC and JÜLICH. The Swiss
Institute of Bioinformatics (SIB) will provide the homology 3D models for the viral proteins. The Fraunhofer IME
will provide the BROAD Repurposing Library and biochemical assays. Phenotypic screenings will be run by KU
LUEVEN to identify molecules capable of blocking virus replication in in vitro models. IIMCB and ELECTRA will
determine the crystal structure of at least one coronavirus functional proteins to evaluate the structural similarities
with other viral proteins. EXSCALATE4CoV consortium will identify safe in man drugs repurposed as 2019-nCoV
antiviral and will propose to the EMA innovation task force (ITF) to define a preliminary development strategy
and a proposal for a registration path. The E4C project will share promptly its scientific outcomes with the research
community by using established channels: ChEMBL portal for the biochemical data, the SWISS-MODEL portal for
the homology models of viral proteins WT and mutants, the Protein Data Bank for the experimentally resolved protein
structures, the EUDAT for the data generated by in-silico simulations and the E4C project website.
  • Overview
  • Research Areas
  • Publications

Overview

Contributors

VISTOLI GIULIO   Scientific Manager  

Departments involved

Dipartimento di Scienze Farmaceutiche   Principale  

Type

H20_RIA - Horizon 2020_Research & Innovation Action/Innovation Action

Funder

EUROPEAN COMMISSION
External Organization Funding Organization

Date/time interval

April 1, 2020 - September 30, 2021

Project duration

18 months

Research Areas

Concepts


Settore CHIM/08 - Chimica Farmaceutica

Publications

Outputs (5)

Novel Method for Prioritizing Protein Binding Sites Using Pocket Analysis and MD Simulations 
HELIYON
ELSEVIER
2025
Academic Article
Open Access
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Target Prediction by Multiple Virtual Screenings: Analyzing the SARS-CoV-2 Phenotypic Screening by the Docking Simulations Submitted to the MEDIATE Initiative 
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
MDPI
2024
Academic Article
Open Access
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MEDIATE - Molecular DockIng at homE: Turning collaborative simulations into therapeutic solutions 
EXPERT OPINION ON DRUG DISCOVERY
ROUTLEDGE TAYLOR & FRANCIS GROUP
2023
Academic Article
Open Access
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Combining Different Docking Engines and Consensus Strategies to Design and Validate Optimized Virtual Screening Protocols for the SARS-CoV-2 3CL Protease 
MOLECULES
MDPI
2021
Academic Article
Open Access
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A comprehensive mapping of the druggable cavities within the SARS-CoV-2 therapeutically relevant proteins by combining pocket and docking searches as implemented in pockets 2.0 
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
MDPI
2020
Academic Article
Open Access
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