Communications publiées lors de congrès ou colloques nationaux et internationaux (18)

  1. 9. Bogaerts, P., Rooman, M., Vastemans, V., & Vande Wouwer, A. (2008). Determination of macroscopic reaction schemes : towards a unifying view. IFAC Proceedings Volumes. Vol. 41 (pp. 9719-9724) 17th IFAC World congress(6-11/7/2008: Seoul (Korea)).
  2. 10. Haye, A., Dehouck, Y., Kwasigroch, J.-M., Bogaerts, P., & Rooman, M. (2008). Modeling the temporal evolution of the Drosophila gene expression. IFAC Proceedings Volumes. Vol. 41 (pp. 14594-14599) 17th IFAC World congress(6-11/7/2008: Seoul (Korea)).
  3. 11. Grosfils, A., Dehouck, Y., Gilis, D., Rooman, M., & Bogaerts, P. (2008). Neural networks to predict protein stability changes upon mutation. IFAC Proceedings Volumes. Vol. 41 (pp. 12619-12624) 17th IFAC World congress(6-11/7/2008: Seoul, Korea).
  4. 12. Gilis, D., Dehouck, Y., & Rooman, M. (2004). In silico to in vitro approach of protein folding and misfolding. In Proceedings of the Xth International Symposium on Amyloid and Amyloidosis (pp. 3-5) CRC Press, USA.
  5. 13. Bieliavsky, P., Detournay, S., Rooman, M., & Spindel, P. (2004). BTZ black holes, WZW models and noncommutative geometry. Proceedings of the Rencontres mathématiques de Glanon. Vol. arXiv:hep-th/0511080 (Glanon, France).
  6. 14. Gilis, D., Massar, S., Cerf, N., & Rooman, M. (2001). How robust is the genetic code against mistranslation errors ? Proceedings of the XIIth Rencontres de Blois 2000, Frontiers of Life: edt by Celnikier L.M. & Trân Thanh Vân J. (pp. 301-304).
  7. 15. Wodak, S., Rooman, M., & Kocher, J.-P. (1995). Effective potentials derived from known protein structures and their use in predicting 3D structure from sequence. In QSAR and molecular modelling: concepts, computational tools and biological applications (pp. 206-214) Prous Science Publishers, edt by F. Sanz, J. Giraldo & F. Manaut.
  8. 16. Rooman, M., Wintjens, R., Kocher, J.-P., & Wodak, S. (1994). Knowledge based potentials for predicting the three-dimensional conformation of proteins. In NATO ASI Series B Physics - Advanced Study Institute: Vol. 325 (pp. 327-330) Plenum Press, edt by S. Doniach.
  9. 17. Rooman, M., Wodak, S., & Kocher, J.-P. (1993). Prediction of regions with well defined conformational preferences in proteins, and their relevance to protein folding. In Computer Aided Innovation of New Materials: Proceedings of the First International Conference and Exhibition on Computer Applications to Materials (pp. 1229-1235) Elsevier Science Publishers, edt by M. Doyama, T. Suzuki, J. Kihara, R. Yamamoto.
  10. 18. Wodak, S., Marchal, B., & Rooman, M. (1986). Computer aided design of macromolecules and A.I. approaches. In Proceedings of the A. I. Biomed 86 Conference Montpellier, France: CRIM.
  11.   Participations à des congrès et colloques internationaux (11)

  12. 1. Cia Beriain, G., Pucci, F., Ancien, F., Raimondi, D., Vranken, W. F., & Rooman, M. (2022). Leveraging structural, evolutionary and contextual information to develop explainable models for deleterious variant prediction. Abstract session presented at Critical Assessment of Genome Interpretation
  13. 2. Pucci, F., Hou, Q., Kwasigroch, J.-M., & Rooman, M. (2017). New statistical potentials for probing protein binding affinity at the interactome scale. The FEBS Journal Supplement Abstract session presented at 42nd FEBS Congress 2017

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