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Section: Partnerships and Cooperations

International Initiatives


Participants : Sabeur Aridhi [contact person] , Marie-Dominique Devignes, Malika Smaïl-Tabbone, David Ritchie, Bishnu Sarker, Wissem Inoubli.

Project title: Analyzing big data with temporal graphs and machine learning: application to urban traffic analysis and protein function annotation. PI: Sabeur Aridhi; Partners: LORIA/Inria NGE, Federal University of Ceará (UFC); Value: 20 k€; Duration: 2017–2020. Description: This project aims to investigate and propose solutions for both urban traffic-related problems and protein annotation problems. In the case of urban traffic analysis, problems such as traffic speed prediction, travel time prediction, traffic congestion identification and nearest neighbors identification will be tackled. In the case of protein annotation problem, protein graphs and/or protein–protein interaction (PPI) networks will be modeled using dynamic time-dependent graph representations.

Informal International Partners
  • Participant: David Ritchie; Project: Integrative Modeling of 3D Protein Structures and Interactions; Partner: Rocasolano Institute of Physical Chemistry, Spain. Funding: Inria Nancy – Grand Est (“Nancy Emerging Associate Team”).

  • Participant: Bernard Maigret; Project: Characterization, expression and molecular modeling of TRR1 and ALS3 proteins of Candida spp., as a strategy to obtain new drugs with action on yeasts involved in nosocomial infections; Partner: State University of Maringá, Brazil.

  • Participant: Bernard Maigret; Project: Fusarium graminearum target selection; Partner: Embrapa Recursos Geneticos e Biotecnologia, Brazil.

  • Participant: Bernard Maigret; Project: The thermal shock HSP90 protein as a target for new drugs against paracoccidioidomicose; Partner: Brasília University, Brazil.

  • Participant: Bernard Maigret; Project: Protein-protein interactions for the development of new drugs; Partner: Federal University of Goias, Brazil.