Combinatorial and rational approaches to polymer synthesis for medicine
被引:36
作者:
Goldberg, Michael
论文数: 0引用数: 0
h-index: 0
机构:
Harvard Univ, MIT, Div Hlth Sci & Technol, Cambridge, MA 02139 USA
MIT, Dept Chem, Cambridge, MA 02139 USAHarvard Univ, MIT, Div Hlth Sci & Technol, Cambridge, MA 02139 USA
Goldberg, Michael
[1
,2
]
Mahon, Kerry
论文数: 0引用数: 0
h-index: 0
机构:
MIT, Ctr Canc Res, Cambridge, MA 02139 USAHarvard Univ, MIT, Div Hlth Sci & Technol, Cambridge, MA 02139 USA
Mahon, Kerry
[3
]
Anderson, Daniel
论文数: 0引用数: 0
h-index: 0
机构:
MIT, Ctr Canc Res, Cambridge, MA 02139 USAHarvard Univ, MIT, Div Hlth Sci & Technol, Cambridge, MA 02139 USA
Anderson, Daniel
[3
]
机构:
[1] Harvard Univ, MIT, Div Hlth Sci & Technol, Cambridge, MA 02139 USA
High-throughput, combinatorial methods have revolutionized small molecule synthesis and drug discovery. By combining automation, miniaturization, and parallel synthesis techniques, large collections of new compounds have been synthesized and screened. It is becoming increasingly clear that these same approaches can also assist the discovery and development of novel biomaterials for medicine. This review examines combinatorial and rational polymer synthesis for medical applications, including stem cell engineering and nucleic acid drug delivery. (c) 2008 Elsevier B.V. All rights reserved.