Exscalate4CoV Awarded €3M EU Call to Combat Coronavirus

March 6, 2020

March 6, 2020 — Italian-based consortium Exscalate4CoV (E4C) was awarded €3 million (~$3.39 million) by the European Commission for research projects focusing on the Coronavirus under the Horizon 2020 framework program.

The primary objective of E4C is to exploit the potential of supercomputing combined with life science scientific skills in Europe to better and quickly face pandemic situations of supranational interest.

Image courtesy of Cineca.

At the center of the project is Exscalate (EXaSCale smArt pLatform Against paThogEns), the supercomputing system –  High Performance Computing, Structure-Based Drug Design System  – operating  globally thanks to its “chemical library” of 500 billion molecules, capable of evaluating more than three million molecules per second.

The consortium, led by pharmaceutical Dompé, aggregates 18 institutions and research centers in seven European countries including Politecnico di Milano  (Department of Electronics, Information and Bioengineering), CINECA Interuniversity Consortium   (Supercomputing Innovation and Applications),  University of Milan  (Department of Science Pharmaceuticals),  Katholieke Universiteit Leuven, International Institute Of Molecular And Cell Biology In Warsaw ( LIMCB ),  Electra Italian Crystallographic Association,  Fraunhofer Institute for Molecular Biology and Applied Ecology ,  Bsc Supercomputing Center, Forschungszentrum Jülich,  Federico II University of Naples,  University of Cagliari,  SIB Swiss Institute of Bioinformatics,  KTH Royal Institute of Technology (Department of Applied Physics), BigData Association,  National Institute of Nuclear Physics (INFN), the National Institute for the infectious diseases  Lazzaro Spallanzani and Chelonia Applied Science.

More specifically, the project aims to identify the safest and most promising drugs for the immediate treatment of the already infected population, followed by the identification of molecules capable of inhibiting the pathogenesis of coronavirus to counter future contagions.

The plan of E4C is structured as follows:

  • Establish a sustainable scientific standard to give quick answers to any pandemic scenario. The model is based on the use of a supercomputing platform integrated with artificial intelligence systems, 3D modeling supported by X-ray diffractometry for the identification of the best candidates for the clinic and subsequent validation of laboratory experimentation on predictive cell models (viruses, bacteria, etc.);
  • Identify virtually and quickly the drugs available,  or at an advanced stage of development, potentially effective;
  • Define a screening model to validate potentially effective molecules  and any pathogen action and mutation mechanisms;
  • Structuring together with EMA – European Medicine Agency – an  effective experimentation model on the molecule identified to speed up its time for therapeutic use;
  • Identify the genes involved in the development of the pathology.

The EXSCALATE platform will be dedicated to identifying the most promising molecules to combat coronavirus thanks to the ability to combine the design of in silico drugs and a virtual library of 500 billion “tangible” (easy to synthesize) compounds.

The CINECA, BSC and Jülich supercomputing centers will perform all the molecular dynamics simulations of viral proteins and the ultra-fast virtual screening of the E4C library.

The University of Milan (UNIMI) and the Polytechnic of Milan (POLIMI) will be engaged respectively in support of the virtual screening activity and for the acceleration of the computational process.

The results of the virtual screening will culminate in the selection of active compounds to be tested in the phenotypic screening phase at the Katholieke Universiteit Leuven research infrastructure through a multiparametric high throughput screening (High Throughput Screening) platform on live pathogens at high biosecurity risk ( level 3) or unknown.

The Fraunhofer Institute for Molecular Biology and Applied Ecology (IME) will integrate phenotypic screening with the biochemical assay on the targets of the various putative viruses, through access to Fraunhofer’s BROAD Repurposing Library.

The University of Cagliari (UNICA) will complete the biological evaluation defining the mechanism of action of the inhibitors and the selection of the mutants in the systems. This information will be crucial to define the genetic barriers of potential drugs and to select the most promising molecules to be developed. The Italian Crystallography Association (AIC) and the International Institute of Molecular and Cellular Biology (IIMCB) will produce X-ray structures for the most interesting viral enzymes and related inhibitors in order to support the rational design of new chemical structures capable of inhibit Coronaviruses. The Medical Chemistry team of the University of Naples Federico II (UNINA) will support the EXSCALATE team in the selection of the best compounds, as well as taking care of the chemical synthesis of the best candidates.

For more information:

https://ec.europa.eu/commission/presscorner/detail/en/ip_20_386

https://ec.europa.eu/info/live-work-travel-eu/health/coronavirus-response_en

About Cineca 

Cineca is a not-for-profit Consortium, made up of the Italian Ministry of Education Universities and Research, 69 Italian universities, 11 Italian National Institutions (8 Italian Research Institutions, 2 Polyclinics, 1 National Agency). Today it is the largest Italian computing center, one of the most important worldwide. With more than seven hundred employees, it operates in the technological transfer sector through high performance scientific computing, the management and development of networks and web-based services, and the development of complex information systems for treating large amounts of data. It develops advanced Information Technology applications and services, acting like a trait-d’union between the academic world, the sphere of pure research and the world of industry and Public Administration.


Source: Cineca

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire