Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The best online drug discovery platform, Building the Ultimate chemical database for drug discovery (ULTIMATE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Hungary
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-08-01
End date: 2019-07-31
Duration (months): 24.0
Total project cost (EUR): 2011662.5
EU funding (EUR): 1408163.0
Participants: 1
Project status: CLOSED

Health and wellbeing are among the basic and most essential needs of humanity. Medicines have a major impact on the quality of life and are essential for treating various diseases. Despite the major achievements of the pharmaceutical industry, there are still diseases without effective treatment, such as different types of cancers and neurodegenerative diseases, including Alzheimer’s disease. Pharmaceutical industry is continuously searching for new compounds that can become drug candidates against such diseases. The first key stage of early-phase drug discovery is to select the most appropriate candidate molecules. However, researchers can typically select and order the starting compounds only from the 7-8 million molecules available “off-the-shelf” from suppliers. Our company, Mcule.com Ltd aims to provide the best web-based drug discovery platform for pharmaceutical researchers (big companies, contract research organisations and academics). Our solution, the Ultimate database will not only integrate all purchasable “off-the-shelf” compounds from multiple suppliers, but also includes virtual compounds, which are not yet synthesized, but predicted to be synthesizable with low effort for a reasonable price (https://mcule.com/ultimate-project/). To demonstrate the concept, in 2016 Mcule integrated the first set of virtual compounds and became the largest chemical web shop of the world offering 35 million purchasable compounds. In this project, we aim to create an easily searchable chemical database of 500 million purchasable compounds. Such a large chemical space would present a major advantage for pharmaceutical and biotech companies by increasing their chances to effectively identify novel compounds for diseases, reducing their costs and time losses. The ULTIMATE database will promote our growth by providing access to the database and web-based searching tools for a subscription fee and by increasing considerably our market share as a compound sourcing solution.

Keywords: drug discovery,cheminformatics,computational chemistry
European network for Particle physics, Lattice field theory and Extreme computing (EuroPLEx)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Germany,Germany,Germany,Spain,Ireland,Germany,Germany,Spain,Italy,Italy,Switzerland,Norway,Netherlands,United States,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-01-01
End date: 2023-09-30
Duration (months): 57.0
Total project cost (EUR): 4045159.44
EU funding (EUR): 4045159.44
Participants: 21
Project status: SIGNED

EuroPLEx will provide a stimulating and fertile environment to train a new generation of researchers in Theoretical Particle Physics, equipped with all the analytical and computational skills that are distinctive of the field of Lattice QCD. The main core of EuroPLEx research aims at a deeper understanding of strongly interacting matter. This will be pursued by numerical simulations of the underlying fundamental theories, including mainly (but not only) QCD. EuroPLEx will enable a solid comparison of forthcoming experimental results from high-energy experiments (e.g. those of LHC Run-2 at CERN) to our best theoretical understanding. Precision tests of the Standard Model will mark the perimeter of what our current theoretical understanding can describe, as opposed to what hints at New Physics. Moreover, EuroPLEx will also directly tackle the study of Beyond the Standard Model candidate theories. EuroPLEx will confront the theoretical and computational challenges of describing matter under the extreme conditions of high temperature and density, aiming at a picture of the so far elusive QCD phase diagram. Finally, EuroPLEx will explore subjects at the interface between non-perturbative Quantum Field Theory and theoretical scenarios like those put forward by Resurgence or String Theory, interacting with theorists interested in the amazing capabilities of lattice field theories as a theoretical laboratory. ESRs hired in EuroPLEx will be part of research projects in which advanced theoretical physics meets algorithmic studies and hardware-aware software developments. Research and training capabilities are strengthened by partners from both experimental physics and industry. EuroPLEx training will benefit from collaborating with partners in many respects, building on solid experience in hardware codesign, software innovation, massive data treatment and Data Science, all ubiquitous outside academia in any kind of consulting, modelling and most fields of IT industry.

Keywords: quantum field theory,string theory,elementary particles and fields,quantum chromodynamics,lattice qcd,hadron physics,computational physics,advanced statistics and data processing
Equinom computational breeding system (ECBS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Protein is critical to human health, but the way we produce and consume it today presents many challenges, both in terms of global consumption patterns as well as their social, environmental and economic impacts. Consumers, aware of the impact a carnivorous diet has on health, animal welfare, and the environment, aim to replace animal products with plant-based protein-enriched products, which explains an increasing demand for clean-label plant-based protein-rich products. However, of the total plant protein produced, less than half is used for human consumption, with just three crops (maize, wheat and rice) accounting for about 50% of the world’s consumption of calories and plant protein. Regarding the EU, the European Union is suffering from a major deficit in vegetable proteins mainly due to the needs of its livestock sector, being dependent on imports from third countries. In order to put an end to this dependency, the EU is building a strategy to promote protein crops, encouraging the production of protein and leguminous plants in EU’s agriculture. On the other hand, the lack of cost-effective plant-proteins diversity (dominant species are soy and pea), organoleptic and functional challenges, and low protein content and quality, is holding-back the market. The food industry is therefore unable to satisfy consumer demand for affordable tasty plant-based protein-enriched products. Via our advanced and non-GMO computational breeding technology (ECBS), we are able to develop customized crops based on the food industry needs, i.e. with those traits required by the industry. This cost-efficient technology enables to create crops with specific traits much more accurately (>10 times higher). On that basis, to meet the current plant protein needs in the industry, we are able to create crops with 50% more protein, better functional (e.g. up to 75% more solubility) and higher nutritional values than commercial varieties.

Keywords: protein,food,computational breeding technology,plant
Monomer sequence control in Polymers : Toward next-generation precision materials (EURO-SEQUENCES)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany,Germany,Belgium,France,France,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2018-12-31
Duration (months): 48.0
Total project cost (EUR): 3926899.8
EU funding (EUR): 3926899.8000000003
Participants: 9
Project status: CLOSED

The aim of the project “Euro-Sequences” is to establish a multidisciplinary training network on the emerging topic of sequence-controlled polymers. It has been shown during the last 5 years that such polymers open up unprecedented options for the future of manmade materials. Indeed, similarly to biopolymers such as DNA and proteins, synthetic sequence-controlled polymers contain precisely engineered chain-microstructures that allow a fine control over their molecular, nanoscopic and macroscopic properties. For instance, these new types of polymers are relevant for applications in molecular data storage, catalysis, and nanomedicine. However, this field of research is young and therefore, fundamental and applied research is still mandatory. Thus, it seems timely and appropriate to federate top-European researchers working on that topic. The proposed network is composed of 7 academic partners and 2 companies and connects researchers with complementary expertise in areas such as organic chemistry, polymer synthesis, supramolecular chemistry, physico-chemistry and materials science. This multidisciplinary network will focus on different scientific aspects. A first important objective will be the development of facile and rapid chemical methods for ‘writing’ molecular information on polymers. In addition, analytical techniques that allow characterization and sequencing of polymers will be studied. The folding and self-assembly of sequence-controlled polymers will be also examined in order to understand the correlation between controlled primary structure and higher levels of organization. Eventually, a crucial aim of this project will be the conception of new types of plastics materials. This network will be a unique scientific environment for training PhDs. The students will conduct their research in top-European laboratories and will receive a complete training, including lectures and summer schools, on polymer chemistry, supramolecular chemistry and biomaterials.

Keywords: sequence controlled polymers,molecular machines,iterative chemistry,sequencing,nanopore analysis,folding,polymer self assembly,polymer materials,precision materials
Graphene Coated Nanoparticles and Nanograins (GRANN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Denmark
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-07-01
End date: 2020-06-30
Duration (months): 60.0
Total project cost (EUR): 1996147.0
EU funding (EUR): 1996147.0
Participants: 1
Project status: CLOSED

In a truly cross-disciplinary research project encompassing surface science, optics, nano-science, astrophysics and chemistry we will synthesize a novel family of high quality mono-layer graphene coated nanoparticles and graphene nanograins with new chemical and optical properties and investigate their catalytic activity, chemical stability and optical characteristics to gauge their relevance for and applicability in industrial catalysis, solar cells, and interstellar chemistry. This will be accomplished by extending existing expertise, knowledge and methods developed by us and by international colleagues for graphene synthesis, graphene reactivity and chemical functionalization, graphene coatings on industrially relevant samples and interstellar surface astrochemistry on carbonaceous materials, into the nanoparticle regime. Combined with state-of-the-art surface science characterization methods with emphasis on scanning tunnelling microscopy and spectroscopy, high resolution transmission electron microscopy, X-ray photoelectron spectroscopy, and thermal desorption mass spectrometry, complemented by Raman and transmission spectroscopy, this will enable us to design, characterize, and understand the properties of this new family of particles at the atomic level. The vision is to harness and combine the remarkable properties of graphene and nanoparticles to create systems with entirely new and unexplored characteristics, to tune these characteristics to be useful for real-world applications, and to exploit the new systems as the first realistic laboratory models of catalytic nanoparticles for interstellar surface chemistry. This ambitious and cross-disciplinary research program will predominantly take place at the Surface Dynamics Laboratory at Aarhus University which is headed by the applicant, but will also involve local, national and international collaborators.

Keywords: graphene,nanoparticles,astrochemistry,coatings,interstellar dust grains,interstellar reactions,surface reactions,chemical functionalization of surfaces,optical properties
New generation of Intelligent Efficient District Cooling systems (INDIGO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Research and Innovation actions
Countries involved: Ireland,Spain,Italy,Switzerland,Finland,United Arab Emirates
Call: Technology for district heating and cooling (H2020-EE-2015-2-RIA, 2015)
Start date: 2016-03-01
End date: 2020-09-30
Duration (months): 55.0
Total project cost (EUR): 2792766.56
EU funding (EUR): 2229321.25
Participants: 7
Project status: CLOSED

In Europe, different prognosis show an increase in cooling demand of almost 60% in 2030 with respect to nowadays. District cooling (DC) can play a part in satisfying this demand in a sustainable way (since can offer 5 to 10 times higher efficiency solutions than on‐site stand‐alone distributed systems). Even if DC captures only minor portion of the prospective market, this will translate into a dramatic increase in the size of the global DC sector. INDIGO aims to develop a more efficient, intelligent and cheaper generation of DC systems by improving system planning, control and management, anticipating the aforementioned scenario. This target will be achieved through the following specific objectives: • Contribute to the wider use of DC systems and motivate the competiveness of European DC market by the development of two open-source tools: o A planning tool for DC systems with the aim of supporting their optimal design o A library with thermo-fluid dynamic models of DC System components which will provide the designers detailed information about their physical behaviour • Primary energy reduction over 45% addressed by a ground breaking DC system management strategy focused mainly on energy efficiency maximization but also on energy cost minimization. Its main characteristics is the predictive management but it also will address other challenges such as: o Integration of Renewable Energy Sources o Dealing with different types of cooling sources o Suitable coupling between generation, storage and demand All this, with the help of intelligent and innovative component controllers (Predictive Controllers) to be developed at all DC system levels. Some of them include embedded self-learning algorithms, allowing components to respond appropriately to the set-points established. Developments carried out within INDIGO will be validated in a real District Heating and Cooling installation with appropriate conditions for testing the new functionalities.

Keywords: district cooling,energy efficiency,intelligent network,predictive control,management optimization,self learning algorithms,open source modelling and open planning tool
Artificial Life Today Anthropological and Sociological Analysis of Life Engineering (ARTENGINE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

We are witnessing profound changes in our societies via biosciences and bio-technologization. Biotechnologies, synthetic biology, and new genetics in general represent key areas of life sciences, characterised by rapid technological and scientific development. The biotechnologies as key areas of contemporary cultural and social transformations are influenced by specific technological rationality and power that is inscribed in the very foundations of modern society. The power is biopower/biopolitics, which names, creates, and controls life. The project addresses contemporary challenges in the field of biopolitical life engineering, specifically in case of PGD (preimplantantion genetic diagnosis) technology. There is a lack of reflection on the broader social and cultural context and on the ramifications of synthetic life engineering, PGD in the Czech Republic from the anthropological and sociological points of view. These issues remain unanalysed, contributing to a lack of understanding of the specific concerns of synthetic life and life sciences in the Eastern European and post-socialist context. This proposed project will analyse social context of technology PGD in the Czech Republic in comparison with Germany. This project is guided by the main questions: How is the field of life engineering, particularly PGD technology, culturally and socially structured in the Czech Republic in comparison with Germany? What kinds and forms of agency are involved there? Are there any specific concerns in public debates relating to life engineering in comparisons of Eastern and Western Europe? The main aim of this research, which will be conducted on case studies of two European countries, is to analyse and interpret through sociological and anthropological perspective the ways in which current forms of biopower and ideas of artificial life have been influencing the social field of life engineering, especially PGD technology.

Keywords: biopolitics,artificial life,life engineering,synthetic biology
INNOVATIVE VESSEL FOR CLEANING-UP ACTIVITIES IN MARINE AND FLUVIAL ENVIRONMENTS (OC-TECH)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Spain
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2018-01-01
End date: 2019-12-31
Duration (months): 24.0
Total project cost (EUR): 2405116.25
EU funding (EUR): 1683581.0
Participants: 2
Project status: CLOSED

The OC-Tech project devises an innovative catamaran-vessel able to: [A] recover hydrocarbon spills, [B] deal with algal blooms and jellyfish infestations; [C] collect flotsam and jetsam. The main benefits of OC-Tech are: [1] Polyvalence: collecting all pollution episodes and has also a large deck for transporting personnel (12 p.) and loads (1.500kg/m2); [2] Multi-Purpose (Cleaning+Working vessel). OC-Tech goes beyond its core cleaning activity (recurring only purpose at other cleaning assets) and can carry up to 12 people thus operating as a conveyor for other operations: ship chandlers; beacons, buoys, barriers carrier; off-shore assistance; Fire protection assistance, cleaning+repair of other ships; Prospecting, diving platform, works; port services and multi-site cleaning work (docks, beaches, boats, bridges). As a relevant feature within multipurpose character, it has a velocity cleaning activities at 4 knots at Force 6 (Beaufort scale) at open sea, ports, inshore and rivers; [3] Maneuverability: four propulsion units. 2 main propulsion units at the rear of each hull and auxiliary thruster units located in each of the bows. The bow units allow generating and controlling a water flow between the two hulls, even while stationary, offering advanced collection possibilities; [4] Efficiency: collection+bagging system facilitates clean-up of 15 tons/hour of hydrocarbon spills (separation rate of 70-80%; no emulsion creation, which avoids additional effort for splitting water and hydrocarbon); [5] Easy Operation: Our proprietary OC-Tech collecting system avoids the need to go back to the port to upload the recovered hydrocarbon leading to savings in fuel and [man·hours] (≈55%); [6] Easy Transportation: OC-Tech foresees future modular design/construction/re-assembly to be conveyed by road/sea/air, leading to faster action than other options; [7] Profitability: OC-Tech will deliver cumulated revenue of €21.55M and cumulated profit of €10.365M by 2023.

Keywords: vessel,spills,environment,clean,ship,fluvial,river,hydrocarbon,jellyfish,waste,residuum,hydrographic,multipurpose,shipyard
TOF PET With Strip SiPMs (TWIST)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Switzerland
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2018-01-01
End date: 2019-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

TWIST will build detector modules for PET scanners that offer high sensitivity together with precise position and time resolution. TWIST will deliver high-resolution PET images with low background using a lower dosage of radio-tracer. The breakthrough is obtained due to the successful development of the new Strip Silicon PhotoMultiplier (SSiPM) within the ERC TICAL project. PET (Positron Emission Tomography) scanners create images of the distribution of positron emitters in the body of subjects under investigation. PET scans have a fundamental advantage over other forms of medical imaging, such as CT scans; since they are sensitive to the functioning of biological processes. Biomarkers are involved in chemical reactions active in molecular pathways of interest for diagnosing diseases; the image will alter according to molecular changes occurring within the area of interest. Since the imaging technique operates at the sub-cellular and molecular level of the body, it is known as molecular imaging. Although PET imaging is a very powerful diagnostic tool, an injection of a radiotracer is required. The precise time resolution of the TWIST modules with substantially reduce the background generating clearer images. The image resolution will be further enhanced due to the determination of the 511 keV gamma interaction point (including the depth of interaction). Since the depth of interaction is well determined, longer crystals can be used and the detection modules can be mounted close to the subject being scanned. This results in higher resolution images with a significant reduction (at least x5) use of radio tracer. For all developments, it is important to move from tests in the laboratory to building a system of multiple units, because this is the stage that these new developments become useful and open up commercial possibilities. The creation of a business plan to manufacture modules on a commercial basis is integrated within this proposal.

Keywords: medical imaging,precise timing,gamma detection,advanced electronics