ABSTRACT
Self-assembly is a fundamental concept and a powerful approach in molecular science. However, creating functional materials with the desired properties through self-assembly remains challenging. In this work, through a combination of experimental and computational approaches, the self-assembly of small amphiphilic dendrons into nanosized supramolecular dendrimer micelles with a degree of structural definition similar to traditional covalent high-generation dendrimers is reported. It is demonstrated that, with the optimal balance of hydrophobicity and hydrophilicity, one of the self-assembled nanomicellar systems, totally devoid of toxic side effects, is able to deliver small interfering RNA and achieve effective gene silencing both in cells - including the highly refractory human hematopoietic CD34(+) stem cells - and in vivo, thus paving the way for future biomedical implementation. This work presents a case study of the concept of generating functional supramolecular dendrimers via self-assembly. The ability of carefully designed and gauged building blocks to assemble into supramolecular structures opens new perspectives on the design of self-assembling nanosystems for complex and functional applications.
Subject(s)
Dendrimers/chemistry , Gene Silencing/physiology , RNA, Small Interfering/chemistry , Animals , Cell Line, Tumor , Humans , Hydrophobic and Hydrophilic Interactions , Male , Mice , Mice, Nude , Micelles , Molecular Structure , Prostatic Neoplasms/genetics , Prostatic Neoplasms/therapy , RNA, Small Interfering/administration & dosage , RNA, Small Interfering/genetics , Xenograft Model Antitumor AssaysABSTRACT
This study presents for the first time the 3D model of the σ1 receptor protein as obtained from homology modeling techniques, shows the applicability of this structure to docking-based virtual screening, defines a computational strategy to optimize the results based on a combination of 3D pharmacophore-based docking and MM/PBSA free energy of binding scoring, and provides evidence that these in silico models and recipes are powerful tools on which virtual screening of new σ1 ligands can be based. In particular, the validation of the applicability of docking-based virtual screening to homology models is of utmost importance, since no crystal structure is available to date for the σ1 receptor, and this missing information still constitutes a major hurdle for a rational ligand design for this important protein target.
