Articles dans des revues avec comité de lecture (28)
  1. 13. Piovesan, D., Dosztányi, Z., Elofsson, A., Gasparini, A., Hatos, A., Kajava, A., Kalmar, L., Leonardi, E., Lazar, T., Macedo-Ribeiro, S., Macossay-Castillo, M., Tabaro, F., Meszaros, A., Minervini, G., Murvai, N., Pujols, J., Roche, D., Salladini, E., Schad, E., Schramm, A., Szabo, B., Tantos, A., Mičetić, I., Tonello, F., Tsirigos, K. K., Veljković, N., Ventura, S., Vranken, W., Warholm, P., Uversky, V. V., Dunker, A. K., Longhi, S., Tompa, P., Necci, M., Tosatto, S. S., Quaglia, F., Oldfield, C. C., Aspromonte, M. C., Davey, N. N., & Davidović, R. (2017). DisProt 7.0: A major update of the database of disordered proteins. Nucleic acids research, 45(D1), D1123-D1124. doi:10.1093/nar/gkw1056
  2. 14. Raimondi, D., Orlando, G., Messens, J., & Vranken, W. (2017). Investigating the Molecular Mechanisms Behind Uncharacterized Cysteine Losses from Prediction of Their Oxidation State. Human mutation, 38(1), 86-94. doi:10.1002/humu.23129
  3. 15. Piovesan, D., Tabaro, F., Mičetić, I., Necci, M., Quaglia, F., Oldfield, C. C., Aspromonte, M. C., Davey, N. N., Davidović, R., Dosztányi, Z., Elofsson, A., Gasparini, A., Hatos, A., Kajava, A., Kalmar, L., Leonardi, E., Lazar, T., Macedo-Ribeiro, S., Macossay-Castillo, M., Meszaros, A., Minervini, G., Murvai, N., Pujols, J., Roche, D. B., Salladini, E., Schad, E., Schramm, A., Szabo, B., Tantos, A., Tonello, F., Tsirigos, K. K., Veljković, N., Ventura, S., Vranken, W., Warholm, P., Uversky, V. V., Dunker, A. K., Longhi, S., Tompa, P., & Tosatto, S. S. (2017). Corrigendum: DisProt 7.0: a major update of the database of disordered proteins. Nucleic acids research, 45(D1), D1123-D1124. doi:10.1093/nar/gkw1279
  4. 16. Raimondi, D., Gazzo, A., Rooman, M., Lenaerts, T., & Vranken, W. (2016). Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects. Bioinformatics, 32(12), 1797-1804. doi:10.1093/bioinformatics/btw094
  5. 17. Pancsa, R., Varadi, M., Tompa, P., & Vranken, W. (2016). Start2Fold: A database of hydrogen/deuterium exchange data on protein folding and stability. Nucleic acids research, 44(D1), D429-D434. doi:10.1093/nar/gkv1185
  6. 18. Varadi, M., Vranken, W., Guharoy, M., & Tompa, P. (2015). Computational approaches for inferring the functions of intrinsically disordered proteins. Frontiers in Molecular Biosciences, 2(AUG), 45. doi:10.3389/fmolb.2015.00045
  7. 19. Raimondi, D., Orlando, G., & Vranken, W. (2015). An evolutionary view on Disulfide bond connectivities prediction using phylogenetic trees and a simple cysteine mutation model. PloS one, 10(7), e0131792. doi:10.1371/journal.pone.0131792
  8. 20. Rosato, A., Wu, B., Lemak, A., Houliston, S., Arrowsmith, C. C., Kennedy, M., Acton, T. T., Xiao, R., Liu, G., Montelione, G. T., Vuister, G. W., Vranken, W., Fogh, R. R., Ragan, T. T., Tejero, R., Pederson, K., Lee, H. W., Prestegard, J. J., & Yee, A. (2015). The second round of Critical Assessment of Automated Structure Determination of Proteins by NMR: CASD-NMR-2013. Journal of biomolecular NMR, 62(4), 413-424. doi:10.1007/s10858-015-9953-4
  9. 21. Ragan, T. T., Fogh, R. R., Tejero, R., Vranken, W., Montelione, G. T., Rosato, A., & Vuister, G. W. (2015). Analysis of the structural quality of the CASD-NMR 2013 entries. Journal of biomolecular NMR, 62(4), 527-540. doi:10.1007/s10858-015-9949-0
  10. 22. Raimondi, D., Orlando, G., & Vranken, W. (2015). Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirements. Bioinformatics, 31(8), 1219-1225. doi:10.1093/bioinformatics/btu794
  11. 23. Sterckx, Y., Volkov, A., Vranken, W., Kragelj, J., Jensen, M. R., Buts, L., Garcia-Pino, A., Jove, T., Van Melderen, L., Blackledge, M., van Nuland, N. A. J., & Loris, R. (2014). Small-angle X-ray scattering- and nuclear magnetic resonance-derived conformational ensemble of the highly flexible antitoxin PaaA2. Structure, 22(6), 854-865. doi:10.1016/j.str.2014.03.012
  12. 24. Cilia, E., Pancsa, R., Tompa, P., Lenaerts, T., & Vranken, W. (2014). The DynaMine webserver: predicting protein dynamics from sequence. Nucleic acids research, 42, W264-W270. doi:10.1093/nar/gku270
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