Objective
Drug discovery is data-hungry and all major pharmaceutical companies maintain extensive in-house instances of public data alongside internal. Analysis and hypothesis generation for drug-discovery projects requires assembly, overlay and comparison of data from many sources, requiring shared identifiers and common semantics. Expression profiles need to be overlaid with gene or pathway identifiers and reports on compound pharmacology. Alignment and integration of internal and public data and information sources is a significant effort and the process is repeated across companies, institutes and academic laboratories. This represents a significant waste and an opportunity cost.
To address these challenges, the Open PHACTS project will develop an open access innovation platform, Open Pharmacological Space (OPS), via a semantic web approach. OPS will comprise data, vocabularies and infrastructure needed to accelerate drug-oriented research. This semantic integration hub will remove key bottlenecks in small molecule drug discovery: disparate information sources, lack of standards and common identifiers, guided by well defined research questions from drug discovery.
Workflows for data capture, processing, interoperability, visualization, and chemogenomics will be developed creating a comprehensive Systems Chemical Biology Analysis Network. Security issues around proprietary data, shared via the Open PHACTS Discovery Platform and accessible for safe querying and reasoning will be properly addressed with expert trusted parties.
The Open PHACTS consortium comprises 20 European academic and SME partners, with leading experts in the fields of data mining, annotation, small molecule data storage and manipulation, target bioinformatics, RDF information handling, massive in silico reasoning and chemical biology. The 10 EFPIA members of Open PHACTS will contribute drug discovery expertise, data sets, software engineering and programming capacity to the project.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences basic medicine pharmacology and pharmacy drug discovery
- natural sciences computer and information sciences software
- natural sciences computer and information sciences data science data mining
- natural sciences computer and information sciences internet semantic web
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
IMI-JU-02-2009
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
JTI-CP-IMI - Joint Technology Initiatives - Collaborative Project (IMI)
Coordinator
WC1A 1DG LONDON
United Kingdom
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Participants (30)
1010 Wien
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2800 KONGENS LYNGBY
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20148 Hamburg
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53757 Sankt Augustin
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08003 Barcelona
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2333 ZA Leiden
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CB4 0WF CAMBRIDGE
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1081 HV Amsterdam
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28029 Madrid
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M13 9PL Manchester
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6200 MD Maastricht
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Participation ended
KT17 3AB Epsom
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15782 Santiago De Compostela
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53113 Bonn
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151 85 Sodertaelje
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CT13 9NJ Sandwich
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08038 Barcelona
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4056 Basel
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64293 Darmstadt
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2500 Valby
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RG21 4FA Basingstoke
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3521 AL Utrecht
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1206 Geneve
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CT147DP Walmer, Deal
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69117 Heidelberg
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2340 Beerse
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CR0 0XZ CROYDON
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CB4 0WF CAMBRIDGE
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08022 Barcelona
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TN40 1QF Bexhill-On-Sea
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