Articles dans des revues avec comité de lecture (55)
  1. 24. 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
  2. 25. 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
  3. 26. 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
  4. 27. 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
  5. 28. 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
  6. 29. 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
  7. 30. Pucci, F., & Rooman, M. (2019). Relation between DNA ionization potentials, single base substitutions and pathogenic variants. BMC genomics, 20, 551. doi:10.1186/s12864-019-5867-y
  8. 31. Pucci, F., & Schug, A. (2019). Shedding light on the dark matter of the biomolecular structural universe: Progress in RNA 3D structure prediction. Methods, 162-163, 68-73. doi:10.1016/j.ymeth.2019.04.012
  9. 32. Pucci, F., & Rooman, M. (2018). Deciphering noise amplification and reduction in open chemical reaction networks. Journal of the Royal Society interface, 15(149), 20180805. doi:10.1098/rsif.2018.0805
  10. 33. Hou, Q., Bourgeas, R., Pucci, F., & Rooman, M. (2018). Computational analysis of the amino acid interactions that promote or decrease protein solubility. Scientific reports, 8(1), 14661. doi:10.1038/s41598-018-32988-w
  11. 34. Pucci, F., Bernaerts, K., Kwasigroch, J.-M., & Rooman, M. (2018). Quantification of biases in predictions of protein stability changes upon mutations. Bioinformatics, 34(21), 3659-3665. doi:10.1093/bioinformatics/bty348
  12. 35. Pucci, F., & Rooman, M. (2018). Insights into noise modulation in oligomerization systems of increasing complexity. Physical Review E, 98(1), 012137. doi:10.1103/PhysRevE.98.012137
    13. << Précédent 1 2 3 4 5 6 Suivant >>