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Paloja, K.; Weiden, J.; Hellmeier, J.; Eklund, A. S.; Reinhardt, S. C. M.; Parish, I. A.; Jungmann, R.; Bastings, M. M. C.: Balancing the Nanoscale Organization in Multivalent Materials for Functional Inhibition of the Programmed Death-1 Immune Checkpoint. ACS Nano 18 (2), pp. 1381 - 1395 (2024)

Pellizzoni, P.; Oliver, C.; Borgwardt, K.: Structure- and function-aware substitution matrices via learnable graph matching. Research in Computational Molecular Biology (RECOMB 2024). Lecture Notes in Computer Science, Vol. 14758, pp. 288 - 307 (2024)

Pellizzoni, P.; Schulz, T.; Chen, D.; Borgwardt, K. M.: On the expressivity and sample complexity of node-individualized graph neural networks. Conference on Neural Information Processing Systems (NeurIPS 2024) (2024)

Schäfer, S. C.; Voll, A. M.; Bracher, A.; Ley, S. V.; Hausch, F.: Antascomicin B stabilizes FKBP51-Akt1 complexes as a molecular glue. Bioorganic & Medicinal Chemistry Letters 104, 129728 (2024)

Schwalbe, H.; Audergon, P.; Haley, N.; Amaro, C. A.; Agirre, J.; Baldus, M.; Banci, L.; Baumeister, W.; Blackledge, M.; Carazo, J. M. et al.; Carugo, K. D.; Celie, P.; Felli, I.; Hart, D. J.; Hauß, T.; Lehtiö, L.; Lindorff-Larsen, K.; Márquez, J.; Matagne, A.; Pierattelli, R.; Rosato, A.; Sobott, F.; Sreeramulu, S.; Steyaert, J.; Sussman, J. L.; Trantirek, L.; Weiss, M. S.; Wilmanns, M.: The future of integrated structural biology. Structure 32, pp. 1563 - 1580 (2024)

Sumida, K. H.; Núñez-Franco, R.; Kalvet, I.; Pellock, S. J.; Wicky, B. I. M.; Milles, L. F.; Dauparas, J.; Wang, J.; Kipnis, Y.; Jameson, N. et al.; Kang, A.; De La Cruz, J.; Sankaran, B.; Bera, A. K.; Jiménez-Osés, G.; Baker, D.: Improving Protein Expression, Stability, and Function with ProteinMPNN. Journal of the American Chemical Society 146 (3), pp. 2054 - 2061 (2024)

Thiele, M.; Villesen, I. F.; Niu, L. L.; Johansen, S.; Sulek, K.; Nishijima, S.; Espen, L. V.; Keller, M.; Israelsen, M.; Suvitaival, T. et al.; Zawadzki, A. d.; Juel, H. B.; Brol, M. J.; Stinson, S. E.; Huang, Y.; Silva, M. C. A.; Kuhn, M.; Anastasiadou, E.; Leeming, D. J.; Karsdal, M.; Matthijnssens, J.; Arumugam, M.; Dalgaard, L. T.; Legido-Quigley, C.; Mann, M.; Trebicka, J.; Bork, P.; Jensen, L. J.; Hansen, T.; Krag, A.; Hansen, T.; Mann, M.; Matthijnssens, J.; Krag, A.; Krag, A.; Bork, P.; Hansen, T.; Arumugam, M.; Trebicka, J.; Karsdal, M.; Anastasiadou, E.; Israelsen, H.; Melberg, H. O.; Legido-Quigley, C.; Thiele, M.: Opportunities and barriers in omics-based biomarker discovery for steatotic liver diseases. Journal of Hepatology 81, pp. 345 - 359 (2024)

Wahle, M.; Thielert, M.; Zwiebel, M.; Skowronek, P.; Zeng, W.-F.; Mann, M.: IMBAS-MS discovers organ-specific HLA peptide patterns in plasma. Molecular & Cellular Proteomics 23 (1), 100689 (2024)

Furthmann, N.; Bader, V.; Angersbach, L.; Blusch, A.; Goel, S.; Sanchez-Vicente, A.; Krause, L. J.; Chaban, S. A.; Grover, P.; Trinkaus, V. A. et al.; van Well, E. M.; Jaugstetter, M.; Tschulik, K.; Damgaard, R. B.; Saft, C.; Ellrichmann, G.; Gold, R.; Koch, A.; Englert, B.; Westenberger, A.; Klein, C.; Jungbluth, L.; Sachse, C.; Behrends, C.; Glatzel, M.; Hartl, F. U.; Nakamura, K.; Christine, C. W.; Huang, E. J.; Tatzelt, J.; Winklhofer, K. F.: NEMO reshapes the α-Synuclein aggregate interface and acts as an autophagy adapter by co-condensation with p62. Nature Communications 14 (1), 8368 (2023)

Glueck, I. M.; Mathias, G. P.; Strauss, S.; Rat, V.; Gialdini, I.; Ebert, T. S.; Stafford, C.; Agam, G.; Manley, S.; Hornung, V. et al.; Jungmann, R.; Sieben, C.; Lamb, D. C.: Nanoscale organization of the endogenous ASC speck. iScience 26 (12), 108382 (2023)

Kaufmann, A.; Vigogne, M.; Neuendorf, T. A.; Reverte-Lopez, M.; Rivas, G.; Thiele, J.: Studying Nucleoid-Associated Protein-DNA Interactions Using Polymer Microgels as Synthetic Mimics. ACS Synthetic Biology 12 (12), pp. 3695 - 3703 (2023)

Reverte-Lopez, M.; Gavrilovic, S.; Merino-Salomon, A.; Eto, H.; Relimpio, A. Y.; Rivas, G.; Schwille, P.: Protein-Based Patterning to Spatially Functionalize Biomimetic Membranes. Small Methods 7 (12), 2300173 (2023)

Michaelis, A. C.; Brunner, A.-D.; Zwiebel, M.; Meier, F.; Strauss, M. T.; Bludau, I.; Mann, M.: The social and structural architecture of the yeast protein interactome. Nature 624 (7990), pp. 192 - 200 (2023)

Janakiraman, M.; Leliavski, A.; Varadarajulu, J.; Jenne, D.; Krishnamoorthy, G.: An engineered Fc fusion protein that targets antigen-specific T cells and autoantibodies mitigates autoimmune disease. Journal of Neuroinflammation 20 (1), 291 (2023)

Tubío-Santamaría, N.; Jayavelu, A. K.; Schnoeder, T. M.; Eifert, T.; Hsu, C.-J.; Perner, F.; Zhang, Q.; Wenge, D. V.; Hansen, F. M.; Kirkpatrick, J. M. et al.; Jyotsana, N.; Lane, S. W.; von Eyss, B.; Deshpande, A. J.; Kühn, M. W. M.; Schwaller, J.; Cammann, C.; Seifert, U.; Ebstein, F.; Krüger, E.; Hochhaus, A.; Heuser, M.; Ori, A.; Mann, M.; Armstrong, S. A.; Heidel, F. H.: Immunoproteasome function maintains oncogenic gene expression in KMT2A-complex driven leukemia. Molecular Cancer 22, 196 (2023)

Wallace, I.; Baek, K.; Prabu, J. R.; Vollrath, R.; von Gronau, S.; Schulman, B. A.; Swatek, K. N.: Insights into the ISG15 transfer cascade by the UBE1L activating enzyme. Nature Communications 14 (1), 7970 (2023)

Henneberg, L. T.; Singh, J.; Duda, D. M.; Baek, K.; Yanishevski, D.; Murray, P. J.; Mann, M.; Sidhu, S. S.; Schulman, B. A.: Activity-based profiling of cullin-RING E3 networks by conformation-specific probes. Nature Chemical Biology 19, pp. 1513 - 1523 (2023)

Serrano, N.; Hyatt, J.-P. K.; Houmard, J. A.; Murgia, M.; Katsanos, C. S.: Muscle fiber phenotype: A culprit of abnormal metabolism and function in skeletal muscle of humans with obesity. American Journal of Physiology-Endocrinology and Metabolism 325 (6), pp. 723 - 733 (2023)

Sinitcyn, P.; Richards, A. L.; Weatheritt, R. J.; Brademan, D. R.; Marx, H.; Shishkova, E.; Meyer, J. G.; Hebert, A. S.; Westphall, M. S.; Blencowe, B. J. et al.; Cox, J.; Coon, J. J.: Global detection of human variants and isoforms by deep proteome sequencing. Nature Biotechnology 41, pp. 1776 - 1786 (2023)

Visonà, G.; Duroux, D.; Miranda, L.; Sükei, E.; Li, Y.; Borgwardt, K.; Oliver, C.: Multimodal learning in clinical proteomics: Enhancing antimicrobial resistance prediction models with chemical information. Bioinformatics 39 (12), btad717 (2023)