Articles dans des revues avec comité de lecture (66)
  1. 12. Tsishyn, M., Cia Beriain, G., Hermans, P., Kwasigroch, J.-M., Rooman, M., & Pucci, F. (2024). FiTMuSiC: leveraging structural and (co)evolutionary data for protein fitness prediction. Human genomics, 18(1). doi:10.1186/s40246-024-00605-9
  2. 13. Yang, Y., Wei, Z., Cia Beriain, G., Song, X., Pucci, F., Rooman, M., Xue, F., & Hou, Q. (2024). MHCII-peptide presentation: an assessment of the state-of-the-art prediction methods. Frontiers in immunology, 15. doi:10.3389/fimmu.2024.1293706
  3. 14. Pucci, F., Zerihun, M. B., Rooman, M., & Schug, A. (2024). pycofitness—Evaluating the fitness landscape of RNA and protein sequences. Bioinformatics, 40(2). doi:10.1093/bioinformatics/btae074
  4. 15. Tsishyn, M., Pucci, F., & Rooman, M. (2024). Quantification of biases in predictions of protein–protein binding affinity changes upon mutations. Briefings in bioinformatics, 25(1). doi:10.1093/bib/bbad491
  5. 16. Shen, L., Liu, Y., Chen, L., Lei, T., Ren, P., Ji, M., Song, W., Lin, H., Su, W., Wang, S., Rooman, M., & Pucci, F. (2024). Genomic basis of environmental adaptation in the widespread poly-extremophilic Exiguobacterium group. The I S M E Journal, 18(1). doi:10.1093/ismejo/wrad020
  6. 17. 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
  7. 18. 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
  8. 19. 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
  9. 20. 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
  10. 21. 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
  11. 22. 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
  12. 23. 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
    13. << Précédent 1 2 3 4 5 6 7 Suivant >>