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Cited by 503

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Simple Peptide‐Tuned Self‐Assembly of Photosensitizers towards Anticancer Photodynamic Therapy

Open access
Liu, Kai, Xing, Ruirui, Zou, Qianli, Ma, Guanghui, Möhwald, Helmuth, Yan, Xuehai·2016·Angewandte Chemie International Edition

Abstract

Peptide‐tuned self‐assembly of functional components offers a strategy towards improved properties and unique functions of materials, but the requirement of many different functions and a lack of understanding of complex structures present a high barrier for applications. Herein, we report a photosensitive drug delivery system for photodynamic therapy (PDT) by a simple dipeptide‐ or amphiphilic amino‐acid‐tuned self‐assembly of photosensitizers (PSs). The assembled nanodrugs exhibit multiple favorable therapeutic features, including tunable size, high loading efficiency, and on‐demand drug release responding to pH, surfactant, and enzyme stimuli, as well as preferable cellular uptake and biodistribution. These features result in greatly enhanced PDT efficacy in vitro and in vivo, leading to almost complete tumor eradication in mice receiving a single drug dose and a single exposure to light.

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Crossref · 10.1002/anie.201509810

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Metadata

Authors
Liu, K., Xing, R., Zou, Q., Ma, G., Möhwald, H., & Yan, X.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2016-01-25
Volume
55
Issue
9
Pages
3036-3039
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2270780899
Cited by
503
References
33
FWCI
73.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Simple Peptide‐Tuned Self‐Assembly of Photosensitizers towards Anticancer Photodynamic Therapy. https://app.cochat.ai/papers/10.1002/anie.201509810
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Liu, K., Xing, R., Zou, Q., Ma, G., Möhwald, H., & Yan, X. (2016). Simple Peptide‐Tuned Self‐Assembly of Photosensitizers towards Anticancer Photodynamic Therapy. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201509810

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.