Slavica JONIC

IMPMC
...
  • CNRS Research Director
  • IMPMC - Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie
  • Slavica.Jonic@upmc.fr
  • Open link
    http://www.impmc.upmc.fr/~jonic
  • Communities
    Health, Medicine & Biology
    Mathematics, Computer Science & Robotics
  • Expertise
    Computational Biology
    Data analysis
    Deep learning
    image processing
    Machine learning
    Mathematical models
    Pattern recognition
    Statistical learning

Responsibilities

Project Group Leader “Image analysis methods for studying structure and dynamics of macromolecular complexes” // ANR EMBioMolMov coordinator; ANR EMBioMolMov coordinator; ANR Cryochrom partner

Selected publications

 Jonic, S., Jankovic, T., Gajic, V., and Popovic, D. (1999) Three machine learning techniques for automatic determination of rules to control locomotion. IEEE Trans Biomed Eng 46, 300-310

Jovovic, M., Jonic, S., and Popovic, D. (1999) Automatic synthesis of synergies for control of reaching--hierarchical clustering. Med Eng Phys 21, 329-341

Jin, Q., Sorzano, C. O., de la Rosa-Trevin, J. M., Bilbao-Castro, J. R., Nunez-Ramirez, R., Llorca, O., Tama, F., and Jonic, S. (2014) Iterative elastic 3D-to-2D alignment method using normal modes for studying structural dynamics of large macromolecular complexes. Structure 22, 496-506

Harastani, M., Eltsov, M., Leforestier, A., and Jonic, S. (2021) HEMNMA-3D: Cryo Electron Tomography Method Based on Normal Mode Analysis to Study Continuous Conformational Variability of Macromolecular Complexes. Front Mol Biosci 8, 663121

Harastani, M., Eltsov, M., Leforestier, A., and Jonic, S. (2022) TomoFlow: Analysis of Continuous Conformational Variability of Macromolecules in Cryogenic Subtomograms based on 3D Dense Optical Flow. J Mol Biol 434, 167381

Hamitouche, I. and Jonic, S. (2021) Deep learning of elastic 3D shapes for cryo electron microscopy analysis of continuous conformational changes of biomolecules, 29th European Signal Processing Conference (EUSIPCO), 2021, pp. 1251-1255, doi: 10.23919/EUSIPCO54536.2021.9616013.https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001251.pdf

International collaborations

Spanish National Centre for Biotechnology, Spanish National Research Council (Spain);

Nagoya University and RIKEN Center for Computational Science Kobe (Japan);

The University of Melbourne (Australia);

University of Belgrade (Serbia);

Max Planck Institute of Biophysics (Germany);

Stanford University (USA).

Industrial collaborations

Sanofi