Literature DB >> 29125066

Autonomous self-navigating drug-delivery vehicles: from science fiction to reality.

Valery A Petrenko1.   

Abstract

Low efficacy of targeted nanomedicines in biological experiments enforced us to challenge the traditional concept of drug targeting and suggest a paradigm of 'addressed self-navigating drug-delivery vehicles,' in which affinity selection of targeting peptides and vasculature-directed in vivo phage screening is replaced by the migration selection, which explores ability of 'promiscuous' phages and their proteins to migrate through the tumor-surrounding cellular barriers, using a 'hub and spoke' delivery strategy, and penetrate into the tumor affecting the diverse tumor cell population. The 'self-navigating' drug-delivery paradigm can be used as a theoretical and technical platform in design of a novel generation of molecular medications and imaging probes for precise and personal medicine. [Formula: see text].

Entities:  

Keywords:  cancer nanomedicines; drug delivery; gene delivery; landscape phage; nanobiotechnology; phage display; phage proteins

Mesh:

Substances:

Year:  2017        PMID: 29125066     DOI: 10.4155/tde-2017-0086

Source DB:  PubMed          Journal:  Ther Deliv        ISSN: 2041-5990


  4 in total

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2.  Combinatorial Avidity Selection of Mosaic Landscape Phages Targeted at Breast Cancer Cells-An Alternative Mechanism of Directed Molecular Evolution.

Authors:  Valery A Petrenko; James W Gillespie; Hai Xu; Tiffany O'Dell; Laura M De Plano
Journal:  Viruses       Date:  2019-08-26       Impact factor: 5.048

Review 3.  Plant/Bacterial Virus-Based Drug Discovery, Drug Delivery, and Therapeutics.

Authors:  Esen Sokullu; Hoda Soleymani Abyaneh; Marc A Gauthier
Journal:  Pharmaceutics       Date:  2019-05-03       Impact factor: 6.321

4.  Evolution of a Landscape Phage Library in a Mouse Xenograft Model of Human Breast Cancer.

Authors:  James W Gillespie; Liping Yang; Laura Maria De Plano; Murray A Stackhouse; Valery A Petrenko
Journal:  Viruses       Date:  2019-10-26       Impact factor: 5.048

  4 in total

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