Articles dans des revues avec comité de lecture (151)
  1. 4. Hou, Q., Rooman, M., & Pucci, F. (2023). Enzyme Stability-Activity Trade-Off: New Insights from Protein Stability Weaknesses and Evolutionary Conservation. Journal of chemical theory and computation, 19(12), 3664-3671. doi:10.1021/acs.jctc.3c00036
  2. 5. Rooman, M., & Pucci, F. (2023). Estimating the Vertical Ionization Potential of Single-Stranded DNA Molecules. Journal of chemical information and modeling, 63(6), 1766-1775. doi:10.1021/acs.jcim.2c01525
  3. 6. Cia Beriain, G., Pucci, F., & Rooman, M. (2023). Critical review of conformational B-cell epitope prediction methods. Briefings in bioinformatics, 24(1). doi:10.1093/bib/bbac567
  4. 7. Cia Beriain, G., Kwasigroch, J.-M., Stamatopoulos, B., Rooman, M., & Pucci, F. (2023). pyScoMotif: discovery of similar 3D structural motifs across proteins. Bioinformatics Advances, 3(1). doi:10.1093/bioadv/vbad158
  5. 8. Cia Beriain, G., Kwasigroch, J.-M., Rooman, M., & Pucci, F. (2022). SpikePro: a webserver to predict the fitness of SARS-CoV-2 variants. Bioinformatics, 38(18), 4418-4419. doi:10.1093/bioinformatics/btac517
  6. 9. Coutelier, M., Jacoupy, M., Janer, A., Renaud, F., Auger, N., Saripella, G.-V., Ancien, F., Pucci, F., Rooman, M., Gilis, D., Larivière, R., Sgarioto, N., Valter, R., Guillot-Noel, L., Le Ber, I., Sayah, S., Charles, P., Nümann, A., Pauly, M. G., Helmchen, C., Deininger, N., Haack, T., Brais, B., Brice, A., Trégouët, D.-A., El Hachimi, K., Shoubridge, E., Durr, A., & Stevanin, G. (2022). NPTX1 mutations trigger endoplasmic reticulum stress and cause autosomal dominant cerebellar ataxia. Brain, 145(4), 1519-1534. doi:10.1093/brain/awab407
  7. 10. Cia Beriain, G., Pucci, F., & Rooman, M. (2022). Analysis of the Neutralizing Activity of Antibodies Targeting Open or Closed SARS-CoV-2 Spike Protein Conformations. International journal of molecular sciences, 23(4). doi:10.3390/ijms23042078
  8. 11. Pucci, F., Schwersensky, M., & Rooman, M. (2022). Artificial intelligence challenges for predicting the impact of mutations on protein stability. Current opinion in structural biology, 72, 161-168. doi:10.1016/j.sbi.2021.11.001
  9. 12. Hou, Q., Pucci, F., Pan, F., Xue, F., Rooman, M., & Feng, Q. (2022). Using metagenomic data to boost protein structure prediction and discovery. Computational and Structural Biotechnology Journal, 20, 434-442. doi:10.1016/j.csbj.2021.12.030
  10. 13. Ancien, F., Pucci, F., Vranken, W. F., & Rooman, M. (2022). MutaFrame—an interpretative visualization framework for deleteriousness prediction of missense variants in the human exome. Bioinformatics, 38(1), 265-266. doi:10.1093/bioinformatics/btab453
  11. 14. Basu, S. C., Assaf, S., Teheux, F., Rooman, M., & Pucci, F. (2021). BRANEart: Identify Stability Strength and Weakness Regions in Membrane Proteins. Frontiers in bioinformatics, 1, 742843. doi:10.3389/fbinf.2021.742843
  12. 15. Pham, N. T. H., Létourneau, M., Fortier, M., Bégin, G., Al-Abdul-Wahid, S., Pucci, F., Folch, B., Rooman, M., Chatenet, D., St Pierre, Y., Lagüe, P., Calmettes, C., & Doucet, N. (2021). Perturbing dimer interactions and allosteric communication modulates the immunosuppressive activity of human galectin-7. The Journal of biological chemistry, 297(5), 101308. doi:10.1016/j.jbc.2021.101308
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