References & Bibliography


1. NIH Announces Nanomedicine Development Center Awards. www.Nano.gov
2. Wikipedia. 2006
3. J Cell Biochem.2006 Jan 26;Engineered nanoparticles as precise drug delivery systems.


Angew Chem Int Ed Engl.2005 Feb 11;44(8):1166-81; DNA CODES FOR NANOSCIENCE
Samori B, et al

Nano Lett.,6(4),587-591,2006.American Chemical Society.Covalently Linked Au Nanoparticles to a Viral Vector: Potential for Combined Photothermal and Gene Cancer Therapy.Maaike Everts et al

Pascual et al. May 2004. "GLUT1 deficiency and other glucose transporter diseases". European journal of endocrinology 150 (5): 627-33.

Liu, X.; Tu, M.; Kelly, R. S.; Chen, C.; Smith, B. J. Development of a computational approach to predict blood-brain barrier permeability. Drug Metab. Dispos. 2004, 32, 132-9.

Klepper, J, Voit T (June 2002). "Facilitated glucose transporter protein type 1 (GLUT1) deficiency syndrome: impaired glucose transport into brain-- a review". European journal of pediatrics 161 (6): 295-304.

Reichel, A.; Begley, D. J.; Abbott, N. J. An overview of in vitro techniques for blood-brain barrier studies. Methods Mol. Med. 2003, 89, 307-24.

Abbott Joan, N. Prediction of blood-brain barrier permeation in drug discovery from in vivo, in vitro and in silico models. Drug Discovery Today: Technol. 2004, 1, 407-416.

Crivori, P.; Cruciani, G.; Carrupt, P. A.; Testa, B. Predicting blood-brain barrier permeation from three-dimensional molecular structure. J. Med. Chem. 2000, 43, 2204-16.

Basak, S.; Gute, B. D.; Drewes, L. R. Predicting blood-brain transport of drugs: a computational approach. Pharm. Res. 1996, 13, 775-8.

Keseru, G. M.; Molnar, L. High-throughput prediction of blood-brain partitioning: a thermodynamic approach. J. Chem. Inf. Comput. Sci. 2001, 41, 120-8.

Hutter, M. C. Prediction of blood-brain barrier permeation using quantum chemically derived information. J. Comput.-Aided Mol. Des. 2003, 17, 415-33.


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