Abskharon, R., Pan, H., Sawaya, M. R., Seidler, P. M., Olivares, E. J., Chen, Y., Murray, K. A., Zhang, J., Lantz, C., Bentzel, M., & Eisenberg, D. S. (2023). Structure-based design of nanobodies that inhibit seeding of Alzheimer’s patient–extracted tau fibrils. Proceedings of the National Academy of Sciences, 120(18), e2300258120. https://doi.org/10.1073/pnas.2300258120
Al Khzem, A. H., & Gomaa, M. S. (2026). Peptide-based therapeutics for Alzheimer’s disease: Medicinal chemistry, AI-guided computational design, and blood–brain barrier delivery. Drug Design, Development and Therapy, 20, 597087.
Arar, S., Haque, M. A., & Kayed, R. (2023). Protein aggregation and neurodegenerative disease: Structural outlook for the novel therapeutics. Proteins: Structure, Function, and Bioinformatics, 91(10), 1314–1335. https://doi.org/10.1002/prot.26561
Arslan, S., Yilmaz, D., Altay, A., & Capan, S. (2026). Recent advances in pyrazole-based cholinesterase and kinase inhibitors as multi-target-directed ligands for Alzheimer’s disease. Pharmaceuticals, 19(7), 1079.
Cehlar, O., Njemoga, S., Horvath, M., Cizmazia, E., Bednarikova, Z., & Barrera, E. E. (2024). Structures of oligomeric states of tau protein, amyloid-β, α-synuclein and prion protein implicated in Alzheimer’s disease, Parkinson’s disease and prionopathies. International Journal of Molecular Sciences, 25(23), 13049. https://doi.org/10.3390/ijms252313049
Datta, D., Perone, I., Wijegunawardana, D., Liang, F., Morozov, Y., Arellano, J., Duque, A., Xie, Z., Van Dyck, C., Joyce, M. K., & Arnsten, A. (2023). Nanoscale imaging of pT217-tau in aged rhesus macaque entorhinal and dorsolateral prefrontal cortex: Evidence of interneuronal trafficking and early-stage neurodegeneration. Alzheimer’s & Dementia, 19(S17), e082021. https://doi.org/10.1101/2023.11.07.566046
Dominguez-Gortaire, J., Ruiz, A., Porto-Pazos, A. B., Rodriguez-Yanez, S., & Cedron, F. (2025). Alzheimer’s disease: Exploring pathophysiological hypotheses and the role of machine learning in drug discovery. International Journal of Molecular Sciences, 26(3), 1004. https://doi.org/10.3390/ijms26031004
Esmaeilpour, D., Hamblin, M. R., Cheng, J., Khosravi, A., Liu, J., Zarepour, A., Zarrabi, A., Sillanpää, M., Zare, E. N., Shen, J., & Karimi-Maleh, H. (2026). AI-assisted protein engineering and structural modeling in neurodegenerative therapeutics. Bioactive Materials, 60, 425–455. https://doi.org/10.1016/j.bioactmat.2026.01.012
Fang, Z., Ran, H., Zhang, Y., Chen, C., Lin, P., Zhang, X., et al. (2025). Integration of proteoformics and deep learning structure prediction in precision medicine. Journal of Proteomics, 321, 105524. https://doi.org/10.1016/j.jprot.2025.105524
Habtemariam, S. (2026). Natural products as a pipeline for next-generation neurodegenerative drugs: From single-target failure to multi-target opportunity in Alzheimer’s and Parkinson’s disease. Molecules, 31(7), 1489. https://doi.org/10.3390/molecules31071489
Huang, B., Li, J., Li, Z., Jiang, H., Yang, M., Li, X., & Niu, X. (2026). EvoPlay-MuZero hybrid framework incorporating a dual-peptide bridging strategy for adjunctive therapy in Alzheimer’s disease. Information, 17(7), 708. https://doi.org/10.3390/info17070708
Jeyaraj, G., Rajendran, A. K., Sathishkumar, K., Almutairi, B. O., Vadivelu, A., Chokkakula, S., Tu, Y., & Xie, W. (2025). High-resolution protein modeling through cryo-EM and AI: Current trends and future perspectives. Frontiers in Molecular Biosciences, 12, 1688455. https://doi.org/10.3389/fmolb.2025.1688455
Jiang, S., Tian, Z., Yang, Y., Han, H., Tong, Z., & Zhang, P. (2025). AI promotes clinical translational medicine in Alzheimer’s disease. Acta Pharmaceutica Sinica B, 15(8), 5100–5125. https://doi.org/10.1016/j.apsb.2025.08.015
Job, N., Thimmakondu, V. S., & Thirumoorthy, K. (2023). In silico drug design and analysis of dual amyloid-beta and tau protein-aggregation inhibitors for Alzheimer’s disease treatment. Molecules, 28(3), 1388. https://doi.org/10.3390/molecules28031388
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., & Hassabis, D. (2021). Highly accurate protein structure prediction with AlphaFold. Nature, 596(7873), 583–589. https://doi.org/10.1038/s41586-021-03819-2
Kayed, R., Piccirella, S., & Aguzzi, A. (2024). Nasal tau immunotherapy clears intracellular tau pathology through TRIM21 and improves cognitive functions in aged tauopathy mice. Alzheimer’s & Dementia, 20(S8), LP146.
Lofgren, S. (2024). Brain shuttles to novel receptors to overcome liabilities of first-generation shuttled anti-amyloid therapeutics. Alzheimer’s & Dementia, 20(S8), LP078.
Lövestam, S., Li, D., Wagstaff, J. L., Kotecha, A., Kimanius, D., McLaughlin, S. H., Murzin, A. G., Freund, S. M. V., Goedert, M., & Scheres, S. H. W. (2024). Disease-specific tau filaments assemble via polymorphic intermediates. Nature, 625(7993), 119–125. https://doi.org/10.1038/s41586-023-06788-w
Masri, H. (2026). Natural coumarins as β-sheet intercalators and multi-target-directed ligands for neurodegenerative proteopathies. Chemistry, 8(1), 93.
Mella, J., Vega-Muñoz, A., Soto, M., Moraga, D., Campanini-Salinas, J., Sandoval-Obando, E., Contreras-Barraza, N., Salazar-Sepúlveda, G., Salas-Guzmán, N., Carabantes-Silva, R., & Mellado, M. (2026). Evolution of multitarget strategies for Alzheimer’s disease: From cholinergic inhibition to network-oriented therapeutic design (2006–2025). Pharmaceuticals, 19(5), 1024. https://doi.org/10.3390/ph19051024
Miotto, M., Di Paola, L., & Tosatto, S. C. E. (2025). The rise of AlphaFold and residue interaction networks in structural biology. Trends in Biochemical Sciences, 50(12), 1078–1089. https://doi.org/10.1016/j.tibs.2025.09.004
Peralta Reyes, F. S., Zielinski, M., Gremer, L., & Schröder, G. F. (2023). Cryo-EM structures of amyloid-β fibrils from Alzheimer’s disease mouse models. Alzheimer’s & Dementia, 19(S17), P225.
Pharmaceutics. (2026). Development and evaluation of galantamine nasal spray (GNT-NS P3) for enhanced nose-to-brain delivery in Alzheimer’s disease treatment. Pharmaceutics, 18(6), 885.
Rajkumar, M., Tian, F., Javed, B., Prajapati, B. G., Deepak, P., Girigoswami, K., & Karmegam, N. (2026). Smart biosensing nanomaterials for Alzheimer’s disease: Advances in design and drug delivery strategies to overcome the blood–brain barrier. Biosensors, 16(1), 66. https://doi.org/10.3390/bios16010066
Setiawan, A. W., Choi, J., Park, S., Choi, M., Tjandrawinata, R. R., Hadinata, E., Park, M. N., Ikrar, T., Nurkolis, F., & Kim, B. (2026). Multi-target pharmacological platforms against tauopathy: Neuro-metabolic crosstalk, drug-likeness, and translational challenges. Pharmaceuticals, 19(5), 792.
Taylor, A. I. P., & Radford, S. E. (2026). Amyloid fibril polymorphism: Structural mechanisms of assembly and the links to disease. Current Opinion in Structural Biology, 96, 103245. https://doi.org/10.1016/j.sbi.2026.103245
Tosatto, S. C. E., Barozi, V., & Miotto, M. (2025). Residue interaction networks for capturing conformational diversity and allosteric regulation in protein ensembles. Trends in Biochemical Sciences, 50(12), 1090–1102.
Wu, H., Qiu, Y., Sheng, F., & Wu, Y. (2024). De novo designed TfR1 binding peptide to shuttle antibody therapeutics across blood brain barrier. Alzheimer’s & Dementia, 20(S8), P149.
Zhou, J., & Chen, M. (2026). Orthogonal molecular feature signatures guide multi-target Alzheimer’s drug discovery through Graph Transformer representation learning. Journal of Data-Driven AD Discovery, 3(1), 19.
Zhou, Z., Liu, P., Li, Y., Liu, X., & Li, J. (2026). Application of PROTACs in protein-driven neurodegenerative and autoimmune diseases. Results in Chemistry, 24, 103234. https://doi.org/10.1016/j.rechem.2026.103234