Literature DB >> 31920308

Characterization Of Blood-Brain Barrier Crossing And Tumor Homing Peptides By Molecular Dynamics Simulations.

Caterina Arcangeli1, Chiara Lico2, Selene Baschieri2, Mariateresa Mancuso3.   

Abstract

INTRODUCTION: The new frontier of tumor diagnosis and treatment relies on the development of delivery strategies capable of allowing the specific targeting of the diagnostic agents/chemotherapeutics, avoiding side effects. In the case of brain tumors, achieving this goal is made more difficult by the presence of the blood-brain barrier (BBB). Peptides have been revealed as excellent candidates for both BBB crossing and specific cancer homing. Nanoparticles (NPs), functionalized with BBB crossing and tumor homing (TH) peptides, are emerging as smart theranostic systems. However, there is still poor knowledge concerning the molecular structure and dynamical properties of these peptides, essential requirements for a suitable functionalization of the delivery systems themselves.
METHODS: In this work, by means of molecular dynamics (MD) simulations, we have extensively characterized the structural and dynamical behavior of several peptides, known to be endowed of BBB crossing and TH properties.
RESULTS: The simulations point out that, on the basis of their conformational dynamics, the peptides can be classified in two main groups: 1) peptides assuming a specific structural conformation, a feature that could be important for interacting with the molecular target but that may limit their use as functionalizing molecules and 2) highly flexible peptides whose interaction with the target may be independent of a particular structural conformation and that may represent good candidates for the functionalization of theranostic NP-based platforms. DISCUSSION: Such findings may be useful for the de novo designing of NP-based delivery systems.
© 2019 Arcangeli et al.

Entities:  

Keywords:  brain; conformational flexibility; essential dynamics; free energy landscapes; peptides; theranostic platform

Mesh:

Substances:

Year:  2019        PMID: 31920308      PMCID: PMC6941700          DOI: 10.2147/IJN.S225793

Source DB:  PubMed          Journal:  Int J Nanomedicine        ISSN: 1176-9114


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