| Literature DB >> 29283247 |
Guocan Yu1, Bryant C Yung1, Zijian Zhou1, Zhengwei Mao2, Xiaoyuan Chen1.
Abstract
Due to their dynamic nature and excellent stimuli-responsiveness resulting from noncovalent driving forces, artificial molecular machines (AMMs) show great promise in cancer theranostics. In this Perspective, we introduce the potential applications of AMMs in controlled drug delivery, bioorthogonal catalysis, imaging, and cell membrane permeabilization, with the goal of enhancing cancer diagnosis and therapy. We expect this preliminary discussion will garner multidisciplinary interest from scientists to advance AMMs and to expand their future clinical applications.Entities:
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Year: 2017 PMID: 29283247 DOI: 10.1021/acsnano.7b07851
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881