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References from Reformulating Protein Corona Prediction as Universal Protein-conditioned Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Nanocarriers as an emerging platform for cancer therapy
10.1038/nnano.2007.387 · 2007 · External reference
10.1038/nrc.2016.108
10.1038/nrc.2016.108 · External reference
10.1038/s41573-020-0090-8
10.1038/s41573-020-0090-8 · External reference
10.1016/j.tibtech.2016.08.011
10.1016/j.tibtech.2016.08.011 · External reference
10.1002/btm2.10143
10.1002/btm2.10143 · External reference
Mechanisms and barriers in nanomedicine: Progress in the field and future directions
10.1021/acsnano.4c00182 · 2024 · External reference
10.1073/pnas.0608582104
10.1073/pnas.0608582104 · External reference
Biomolecular coronas provide the biological identity of nanosized materials
10.1038/nnano.2012.207 · 2012 · External reference
10.1038/nmat2442
10.1038/nmat2442 · External reference
Rapid formation of plasma protein corona critically affects nanoparticle pathophysiology
10.1038/nnano.2013.181 · 2013 · External reference
10.1021/acsnano.5c08608
10.1021/acsnano.5c08608 · External reference
A uniform data processing pipeline enables harmonized nanoparticle protein corona analysis across proteomics core facilities
10.1038/s41467-023-44678-x · 2024 · External reference
Measurements of heterogeneity in proteomics analysis of the nanoparticle protein corona across core facilities
10.1038/s41467-022-34438-8 · 2022 · External reference
A uniform data processing pipeline enables harmonized nanoparticle protein corona analysis across proteomics core facilities
10.1038/s41467-023-44678-x · 2024 · External reference
Leveraging artificial intelligence and machine learning for characterizing protein corona, nanobiological interactions, and advancing drug discovery
10.3390/bioengineering12030312 · 2025 · External reference
10.1073/pnas.1919755117
10.1073/pnas.1919755117 · External reference
Machine learning prediction of protein adsorption on drug-delivering nanoparticles: A literature survey and need for future development
10.1007/s11095-025-03981-6 · 2026 · External reference
Supervised learning model predicts protein adsorption to carbon nanotubes
10.1126/sciadv.abm0898 · 2022 · External reference
10.1021/acsnano.4c12259
10.1021/acsnano.4c12259 · External reference
Prediction of protein corona on nanomaterials by machine learning using novel descriptors
10.1016/j.impact.2020.100207 · 2020 · External reference
Machine learning enables comprehensive prediction of the relative protein abundance of multiple proteins on the protein corona
10.34133/research.0487 · 2024 · External reference
10.1021/acs.nanolett.4c05955
10.1021/acs.nanolett.4c05955 · External reference
10.1126/science.ade2574
10.1126/science.ade2574 · External reference
10.1093/nargab/lqae150
10.1093/nargab/lqae150 · External reference
Protein language models: Applications and perspectives
10.1021/acs.jproteome.5c00506 · 2026 · External reference
Unresolved reference
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10.1109/tpami.2021.3095381
10.1109/tpami.2021.3095381 · External reference
A review of generalized zero-shot learning methods
2023 · External reference
Multitask learning
10.1023/a:1007379606734 · 1997 · External reference
Unresolved reference
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10.1145/2939672.2939785
10.1145/2939672.2939785 · External reference
Umap: Uniform manifold approximation and projection for dimension reduction
2018 · External reference
Visualizing data using t-sne
2008 · External reference
Unresolved reference
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Unresolved reference
2015 · External reference
10.1007/978-3-319-23528-8_9
10.1007/978-3-319-23528-8_9 · External reference
10.1609/aaai.v32i1.11671
10.1609/aaai.v32i1.11671 · External reference
A review on protein corona formation on nanoparticles and prediction of its composition using artificial intelligence tools
10.1016/j.ijpharm.2025.126094 · 2025 · External reference
Artificial intelligence-driven design of inorganic materials for biomedical applications
10.1016/j.scib.2026.04.069 · 2026 · External reference
10.2307/1268522
10.2307/1268522 · External reference
Unresolved reference
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10.2307/2282967
10.2307/2282967 · External reference
Attribute-based classification for zero-shot visual object categorization
2013 · External reference
10.1109/tpami.2018.2857768
10.1109/tpami.2018.2857768 · External reference
Zero-shot learning through cross-modal transfer
2013 · External reference
Language models are few-shot learners
2020 · External reference
Unresolved reference
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10.1038/s41586-021-03819-2
10.1038/s41586-021-03819-2 · External reference
10.1038/s41586-024-07487-w
10.1038/s41586-024-07487-w · External reference
Unresolved reference
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Unresolved reference
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10.1016/j.colsurfb.2012.10.039
10.1016/j.colsurfb.2012.10.039 · External reference
10.1145/3712285.3759853
10.1145/3712285.3759853 · External reference
Unresolved reference
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Layer normalization
2016 · External reference
Gaussian error linear units (gelus)
2016 · External reference
Unresolved reference
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Unresolved reference
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10.1038/s41592-019-0686-2
10.1038/s41592-019-0686-2 · External reference
Unresolved reference
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Unresolved reference
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Unresolved reference
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On the difficulty of training recurrent neural networks
2013 · External reference
Dropout: A simple way to prevent neural networks from overfitting
2014 · External reference