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Machine Learning and Artificial Intelligence in Nanomedicine.
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本文引用的文献

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Contrasting effects of nanoparticle-protein attraction on amyloid aggregation.
RSC Adv. 2015 Jan 1;5(127):105498. doi: 10.1039/C5RA20182A. Epub 2015 Dec 1.
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Coarse-grained model of adsorption of blood plasma proteins onto nanoparticles.
J Chem Phys. 2015 Dec 28;143(24):243138. doi: 10.1063/1.4936908.
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High Throughput Screening Method to Explore Protein Interactions with Nanoparticles.
PLoS One. 2015 Aug 27;10(8):e0136687. doi: 10.1371/journal.pone.0136687. eCollection 2015.
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Molecular-Level Insights into Orientation-Dependent Changes in the Thermal Stability of Enzymes Covalently Immobilized on Surfaces.
Langmuir. 2015 Jun 9;31(22):6145-53. doi: 10.1021/acs.langmuir.5b01735. Epub 2015 May 27.
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Multiscale modeling of a conditionally disordered pH-sensing chaperone.
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PCASSO: a fast and efficient Cα-based method for accurately assigning protein secondary structure elements.
J Comput Chem. 2014 Sep 15;35(24):1757-61. doi: 10.1002/jcc.23683. Epub 2014 Jul 4.
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A coarse grain model for protein-surface interactions.
J Chem Phys. 2013 Sep 7;139(9):095102. doi: 10.1063/1.4819131.
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How do proteins unfold upon adsorption on nanoparticle surfaces?
Langmuir. 2012 Sep 4;28(35):12779-87. doi: 10.1021/la302258k. Epub 2012 Aug 22.
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Peptide adsorption on silica nanoparticles: evidence of hydrophobic interactions.
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