Abstract
In the past decade, drug delivery systems that can respond to the tumor microenvironment or external stimuli have emerged as promising platforms for treating malignancies due to their improved antitumor efficacy and reduced side effects. In particular, biodegradable polymeric micelles have attracted increasing attention and been rapidly developed as a distinct therapeutic to overcome limitations of conventional chemotherapeutic anticancer drugs. Because of their advantages with respect to biocompatibility, degradability, circulation time, and tumor accumulation, considerable effort has been dedicated to the developing and optimizing micellar systems during the past few years. This review highlights recent advances concerning stimuli-responsive micelles made of biodegradable polypeptide and polyester as nanocarries for drug delivery, and especially limits the content to pH sensitive, redox sensitive, and photo-sensitive micellar systems for safe and efficient cancer chemotherapy.
Keywords: Drug delivery, polymeric micelles, polypeptide and polyester, stimuli-responsive.
Call for Papers in Thematic Issues
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Bioinformatics is an interdisciplinary field that analyzes and explores biological data. This field combines biology and information system. Artificial Intelligence (AI) has attracted great attention as it tries to replicate human intelligence. It has become common technology for analyzing and solving complex data and problems and encompasses sub-fields of machine ...read more
Latest Advancements in Biotherapeutics.
The scope of this thematic issue is to comprehensively explore the rapidly evolving landscape of biotherapeutics, emphasizing breakthroughs in precision medicine. Encompassing diverse therapeutic modalities, the issue will delve into the latest developments in monoclonal antibodies, CRISPR/Cas gene editing, CAR-T cell therapies, and innovative drug delivery systems, such as nanoparticle-based ...read more
Machine Learning and Artificial Intelligence for Medical Data Analysis and Human Information Analysis in Healthcare
The intersection of machine learning (ML) and artificial intelligence (AI) with the pharmaceutical industry is revolutionizing traditional paradigms in drug discovery and development. These technologies have introduced innovative approaches to analyzing complex datasets and predicting chemical properties, leading to more efficient identification and optimization of drug candidates. By employing sophisticated ...read more
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