Articles dans des revues avec comité de lecture (55)
  1. 12. 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
  2. 13. 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
  3. 14. 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
  4. 15. 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
  5. 16. 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
  6. 17. Zerihun, M., Pucci, F., & Schug, A. (2021). CoCoNet-boosting RNA contact prediction by convolutional neural networks. Nucleic acids research, 49(22), 12661-12672. doi:10.1093/nar/gkab1144
  7. 18. 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
  8. 19. Pucci, F., Annoni, F., Dos Santos, R. A. S., Taccone, F., & Rooman, M. (2021). Quantifying renin-angiotensin-system alterations in covid-19. Cells, 10(10), 2755. doi:10.3390/cells10102755
  9. 20. Pucci, F., & Rooman, M. (2021). Prediction and evolution of the molecular fitness of sars-cov-2 variants: Introducing spikepro. Viruses, 13(5), 935. doi:10.3390/v13050935
  10. 21. Ancien, F., Pucci, F., & Rooman, M. (2021). In silico analysis of the molecular-level impact of smpd1 variants on niemann-pick disease severity. International journal of molecular sciences, 22(9), 4516. doi:10.3390/ijms22094516
  11. 22. Hou, Q., Pucci, F., Ancien, F., Kwasigroch, J.-M., Bourgeas, R., & Rooman, M. (2021). SWOTein: a structure-based approach to predict stability Strengths and Weaknesses of prOTEINs. Bioinformatics. doi:10.1093/bioinformatics/btab034
  12. 23. Schwersensky, M., Rooman, M., & Pucci, F. (2020). Large-scale in silico mutagenesis experiments reveal optimization of genetic code and codon usage for protein mutational robustness. BMC biology, 18(1), 146. doi:10.1186/s12915-020-00870-9
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