Biocomputing nanoplatforms as therapeutics and diagnostics.
Biocomputing nanoplatforms as therapeutics and diagnostics.
复制标题
DOI：
10.1016/j.jconrel.2016.01.045
复制
发表时间：
2016-10-28
期刊：
影响因子：
--
通讯作者：
Suh J
中科院分区：
文献类型：
--
作者：
Evans AC;Thadani NN;Suh J
生物计算纳米平台被设计为在定义的算法（例如布尔逻辑门）下检测和整合单个或多个输入，并生成功能上有用的输出，例如递送治疗剂或释放光学可检测信号。使用由小分子，聚合物，核酸或蛋白质/肽组成的传感模块，纳米平台已被编程为检测和处理外部刺激，如磁场或光，或内在刺激，如核酸，酶或pH。刺激检测可以通过三种不同的机制由纳米材料转导：系统组装，系统拆卸或系统转换。日益复杂的生物计算纳米平台套件可能对许多应用非常宝贵，包括医学诊断，生物医学成像，环境监测和向靶细胞群提供治疗。
Biocomputing nanoplatforms are designed to detect and integrate single or multiple inputs under defined algorithms, such as Boolean logic gates, and generate functionally useful outputs, such as delivery of therapeutics or release of optically detectable signals. Using sensing modules composed of small molecules, polymers, nucleic acids, or proteins/peptides, nanoplatforms have been programmed to detect and process extrinsic stimuli, such as magnetic fields or light, or intrinsic stimuli, such as nucleic acids, enzymes, or pH. Stimulus detection can be transduced by the nanomaterial via three different mechanisms: system assembly, system disassembly, or system transformation. The increasingly sophisticated suite of biocomputing nanoplatforms may be invaluable for a multitude of applications, including medical diagnostics, biomedical imaging, environmental monitoring, and delivery of therapeutics to target cell populations.