Communications publiées lors de congrès ou colloques nationaux et internationaux (18)
  1. 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.
  2. 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.
  3. 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.
    4.   Participations à des congrès et colloques internationaux (13)
  4. 1. Tsishyn, M., Rooman, M., & Pucci, F. (2024). Quantification of biases in predictions of protein–protein binding affinity changes upon mutations. Poster présenté à la conférence Applied Bioinformatics in Life Sciences (5th edition).
  5. 2. Tsishyn, M., Cia Beriain, G., Hermans, P., Kwasigroch, J.-M., Rooman, M., & Pucci, F. (2023). FiTMuSiC: Leveraging structural and (co)evolutionary data for protein fitness prediction. Poster présenté à la conférence ISMB-ECCB-2023.
  6. 3. 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
  7. 4. 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
  8. 5. Raimondi, D., Tanyalçin, I., Ferte, J., Gazzo, A., Orlando, G., Lenaerts, T., Rooman, M., & Vranken, W. F. (2017). DEOGEN2: prediction and interactive visualisation of SingleAmino Acid Variant deleteriousness in human proteins. Proceedings of the 25th Annual International Conference on Intelligent Systems for Molecular Biology and the 16th European Conference on Computational Biology. Abstract session presented at (21-25 Juillet 2017: Prague, Tchèque)
  9. 6. Raimondi, D., Gazzo, A., Rooman, M., Lenaerts, T., & Vranken, W. (2016). Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects. Proceedings of the European Conference on Computational Biology Abstract session presented at European Conference on Computational Biology(3-7 September 2016: Den Hague, the Netherlands)
  10. 7. Raimondi, D., Lenaerts, T., Rooman, M., & Vranken, W. (2014). Decriminative sequence alignments for the prediction of snps and indels functions effects on proteins. Proceedings of the Benelux Bioinformatics Conference Abstract session presented at Benelux Bioinformatics Conference(8-9 December 2014: Luxembourg)
  11. 8. Cauet, E., Rooman, M., Wintjens, R., Valiev, M., Weare, J., & Liévin, J. (2010). Ionization and charge transfer in DNA from ab initio and hybrid quantum mechanics/molecular mechanics (QM/MM) calculations. Paper session presented at RCTF-2010 12ème Rencontre des Chimistes Théoricines Francophones (2010: Namur, Belgium).
  12. 9. Cauet, E., Rooman, M., Wintjens, R., & Liévin, J. (2010). Ab initio study of the elementary steps of electron transfer in DNA. Paper session presented at 240th American Chemical Society National Meeting (2010: Boston, MA, USA).
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