Articles dans des revues avec comité de lecture (61)
  1. 24. 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
  2. 25. 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
  3. 26. 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
  4. 27. 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
  5. 28. 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
  6. 29. 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
  7. 30. Pucci, F., Bogaerts, P., & Rooman, M. (2020). Modeling the Molecular Impact of SARS-CoV-2 Infection on the Renin-Angiotensin System. Viruses, 12(12), 1367. doi:10.3390/v12121367
  8. 31. Pucci, F., Kwasigroch, J.-M., & Rooman, M. (2020). Protein Thermal Stability Engineering Using HoTMuSiC. Methods in molecular biology, 2112, 59-73. doi:10.1007/978-1-0716-0270-6_5
  9. 32. Pucci, F., Zerihun, M. B., Peter, E. K., & Schug, A. (2020). Evaluating DCA-based method performances for RNA contact prediction by a well-curated data set. RNA, 26(7), 794-802. doi:10.1261/rna.073809.119
  10. 33. Hou, Q., Kwasigroch, J.-M., Rooman, M., & Pucci, F. (2020). SOLart: a structure-based method to predict protein solubility and aggregation. Bioinformatics, 36(5), 1445-1452. doi:10.1093/bioinformatics/btz773
  11. 34. Zerihun, M., Pucci, F., Peter, E. K., & Schug, A. (2019). pydca v1.0: A Comprehensive Software for Direct Coupling Analysis of RNA and Protein Sequences. Bioinformatics. doi:10.1093/bioinformatics/btz892
  12. 35. Mbaye, M. N., Hou, Q., Basu, S. C., Teheux, F., Pucci, F., & Rooman, M. (2019). A comprehensive computational study of amino acid interactions in membrane proteins. Scientific reports, 9(1), 12043. doi:10.1038/s41598-019-48541-2
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