Publicaties

2023

Wetenschappelijke publicaties

Teunissen, C. E., Kimble, L., Bayoumy, S., Bolsewig, K., Burtscher, F., Coppens, S., Das, S., Gogishvili, D., Gomes, B. F., de San José, N. G., Mavrina, E., Meda, F. J., Mohaupt, P., Mravinacová, S., Waury, K., Wojdała, A. L., Abeln, S., Chiasserini, D., Hirtz, C., ... Zetterberg, H. (2023). Methods to Discover and Validate Biofluid-Based Biomarkers in Neurodegenerative Dementias. Molecular and Cellular Proteomics, 22(10), Article 100629. https://doi.org/10.1016/j.mcpro.2023.100629
Bridel, C., Gils, J. H. M. V., Miedema, S. S. M., Hoozemans, J. J. M., Pijnenburg, Y. A. L., Smit, A. B., Rozemuller, A. J. M., Abeln, S., & Teunissen, C. E. (2023). Clusters of co-abundant proteins in the brain cortex associated with fronto-temporal lobar degeneration. Alzheimer's Research and Therapy, 15(1), Article 59. https://doi.org/10.1186/s13195-023-01200-1
Gogishvili, D., Vromen, E. M., Hertog, S. K., Lemstra, A. W., Pijnenburg, Y. A. L., Visser, P. J., Tijms, B. M., Campo, M. D., Abeln, S., Teunissen, C. E., & Vermunt, L. (2023). Discovery of novel CSF biomarkers to predict progression in dementia using machine learning. Scientific Reports, 13(1), Article 6531. https://doi.org/10.1038/s41598-023-33045-x
Waury, K., de WIt, R., Verberk, IMW., Teunissen, CE., & Abeln, S. (2023). Deciphering Protein Secretion from the Brain to Cerebrospinal Fluid for Biomarker Discovery. Journal of Proteome Research, 22(9), 3068-3080. https://doi.org/10.1021/acs.jproteome.3c00366

2022

Wetenschappelijke publicaties

Crusoe, M. R., Abeln, S., Iosup, A., Amstutz, P., Chilton, J., Tijanić, N., Ménager, H., Soiland-Reyes, S., & Goble, C. (2022). Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language. Communications of the ACM, 65(6), 54-63. https://doi.org/10.1145/3486897
Gils, J. H. M. V., Gogishvili, D., Eck, J. V., Bouwmeester, R., Dijk, E. V., Abeln, S., & Gromiha, M. (Ed.) (2022). How sticky are our proteins? Quantifying hydrophobicity of the human proteome. Bioinformatics Advances, 2(1). https://doi.org/10.1093/bioadv/vbac002
Capel, H., Feenstra, A., & Abeln, S. (2022). Multi-task learning to leverage partially annotated data for PPI interface prediction. Scientific Reports, 12. https://doi.org/10.1038/s41598-022-13951-2

2020

Wetenschappelijke publicaties

Gils, J. H. M. V., Dijk, E. V., Peduzzo, A., Hofmann, A., Vettore, N., Schützmann, M. P., Groth, G., Mouhib, H., Otzen, D. E., Buell, A. K., & Abeln, S. (2020). The hydrophobic effect characterises the thermodynamic signature of amyloid fibril growth. PLoS Computational Biology, 16(5). https://doi.org/10.1371/journal.pcbi.1007767