Chandra, NA., Hu Y., Buenrostro JD., Mostafavi S., Sasse A., 2026. Refining Sequence-to-Activity Models by Increasing Model Resolution. Bioinformatics Advances, https://doi.org/10.1093/bioadv/vbag122
Rosado-Tristani DA, Albu M, Chen X, Sasse A, Laverty K.U., Ray D., Tam C.L., Ernst K., Lawson L.P., Morris Q.D., Hughes T.R., Weirauch M.T., CisBP-RNA: a web resource for eukaryotic RNA-binding proteins and their motifs, Nucleic Acids Research, 2025;, gkaf1081, https://doi.org/10.1093/nar/gkaf1081
Sasse, A.*, Ray, D.*, Laverty, K.U.* et al. A resource of RNA-binding protein motifs across eukaryotes reveals evolutionary dynamics and gene-regulatory function. Nat Biotechnol (2025). https://doi.org/10.1038/s41587-025-02733-6
Spiro AE', Tu X*, Sheng Y, Sasse A, Hosseini R, Chikina M, Mostafavi S. A scalable approach to investigating sequence-to-function predictions from personal genomes, Nature Methods, 2026; doi: https://doi.org/10.1038/s41592-026-03124-8
Sasse, A., Chikina, M. and Mostafavi, S. Unlocking gene regulation with sequence-to-function models. Nature Methods. 2024, 21, 1374-1377.
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Sasse, A., Chikina, M. and Mostafavi, S. Quick and effective approximation of in silico saturation mutagenesis experiments with first-order Taylor expansion. iScience. 2024, 27, 9, https://doi.org/10.1016/j.isci.2024.110807
Perchlik, M., Sasse, A., Mostafavi, S., Fields, S., Cuperus, J.T., Impact on splicing in Saccharomyces cerevisiae of random 50-base sequences inserted into an intron. RNA (New York, N.Y.). 2024, vol. 30,1 52-67
Sasse, A.*, Ng, B.*, Spiro, A.E.*, Tasaki, S., Bennett, D.A., Gaiteri C., De Jager P.L., Chikina M., Mostafavi S., Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings. Nature Genetics. 2023, 55, 2060-2064, https://doi.org/10.1038/s41588-023-01524-6
Baysoy, A., Seddu, K., Salloum, T., Caleb D.A., Lee J.J, Yang L., Gal-Oz S., Ner-Gaon H., Tellier J., Millan A., Sasse A., Brown B., Lanier L.L., Shay T., Nutt S., Dwyer D., Benoist C., Immunological Genome Project Consortium, The interweaved signatures of common-gamma-chain cytokines across immunologic lineages. Journal of Experimental Medicine, 2023, 220 (7), e20222052
Sasse, A., Inferring RNA Sequence Specificities from Protein Sequences to Characterize Post-Transcriptional Regulation in Eukaryotes (Doctoral dissertation, University of Toronto (Canada)). 2022, ProQuest Dissertations & Theses Global. (2645859384). Find
here
Sasse A., Laverty K.U., Hughes T.R., Morris Q.D., Motif models for RNA-binding proteins. Current Opinion in Structural Biology. 2018, 53, 115-123
Sasse A., de Vries, S.J., Schindler C.E.M., de Beauchene, I.C., Zacharias M., Rapid Design of Knowledge-Based Scoring Potentials for Enrichment of Near-Native Geometries in Protein-Protein Docking. PloS one, 2017, 12(1), p.e0170625.
Schindler C.E.M., de Vries, S.J., Sasse A., Zacharias M. ,SAXS Data Alone can Generate High-Quality Models of Protein-Protein Complexes. Structure, 2016, 24(8), pp.1387-1397.
