Introduction

The SFCi days, which take place every two years, are a major event in the French scientific landscape of chemoinformatics. Their aim is to bring together and interact with the different players in chemoinformatics at the national level (academic and industrial), but also to offer young researchers (Master 2 students, doctoral students and post-doctoral students) the opportunity to present their work. to the chemoinformatics community. In addition, these days serve as catalysts to exchange with other scientific communities interested in "big data", artificial intelligence, visualization, augmented reality in connection with health in the broad sense, from the search for drug candidates , from new materials to predictive toxicology.

Save the date : Caen,  October 5-6, 2023

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Talk submission is closed.

Poster submission extended deadline :  an abstract of 3000 characters max before  September, 9th.

Early registration before August, 26 th.

Registration will be closed on September 15th.

The book of abstract

A special issue of Molecular Informatics will be associated to the event. If you intend to contribute, please indicate it on the registration form.

Invited Speakers

Speakers and preliminary titles

  • Dmitri Kireev (Department of Chemistry, University of Columbia, USA) : Structural ligand-protein interaction fingerprints: deeper, broader, faster
  • Dominique Douguet (Institut de Pharmacologie Moléculaire et Cellulaire, Université Côte d'Azur, France) : An overview of FDA approved small-molecule pharmacopeia and what it can 
    bring to drug design
  • Anne Claude Camproux  (Université Paris Cité, France) : Structural analysis of targets for characterization of their binding site and flexibility to improve drug partner prediction.
  • Thierry Langer (Department of Pharmaceutical Chemistry, Universitat Vienna, Austria) :Next Generation Pharmacophore Modeling: Tools and Applications
  • Fabrizio Costa (Department of Computer Science, Faculty of Environment, Science and Economy
    University of Exeter, England) : Heterogeneous networks integration for disease–gene prioritisation with node kernels

Sponsors

CERMN          GREYC

UNICAENENSICAENNormandie UniversitéCNRS

MADICSBigDataCHIM

NormasticCaen La MerRegion Normandie

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Schrodinger

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