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1.
Biochemistry ; 53(18): 2993-3003, 2014 May 13.
Article in English | MEDLINE | ID: mdl-24766040

ABSTRACT

The σ1 receptor is an integral membrane protein that shares no homology with other receptor systems, has no unequivocally identified natural ligands, but appears to play critical roles in a wide variety of cell functions. While the number of reports of the possible functions of the σ1 receptor is increasing, almost no information about the three-dimensional structure of the receptor and/or possible modes of interaction of the σ1 protein with its ligands have been described. Here we performed an in vitro/in silico investigation to analyze the molecular interactions of the σ1 receptor with its prototypical agonist (+)-pentazocine. Accordingly, 23 mutant σ1 isoforms were generated, and their interactions with (+)-pentazocine were determined experimentally. All direct and/or indirect effects exerted by the mutant residues on the receptor-agonist interactions were reproduced and rationalized in silico, thus shining new light on the three-dimensional structure of the σ1 receptor and its ligand binding site.


Subject(s)
Receptors, sigma/metabolism , Binding Sites , Computer Simulation , Ligands , Models, Molecular , Molecular Dynamics Simulation , Mutagenesis, Site-Directed , Pentazocine/metabolism , Receptors, sigma/agonists
2.
Curr Med Chem ; 19(29): 5062-87, 2012.
Article in English | MEDLINE | ID: mdl-22963635

ABSTRACT

Due to the relative easy synthesis and commercial availability, nanovectors based on dendrimers and dendrons are among the most utilized non-viral vectors for gene transfer. Contextually, recent advances in molecular simulations and computer architectures not only allow for accurate predictions of many structural, energetical, and eventual self-assembly features of these nanocarriers per se, but are able to yield vital (and perhaps otherwise unattainable) molecular information about the interactions of these nanovectors with their nucleic acid cargoes. In the present work, we aim at reviewing our own efforts in the field of multiscale molecular modeling of these interesting materials. In particular, our originally developed computational recipes will be presented, and the link between simulations and experiments will be described and discussed in detail. This review is written by computational scientists for experimental scientists, with the specific purpose of illustrating the potentiality of these methodologies and the usefulness of multiscale molecular modeling as an innovative and complementary tool in their current research.


Subject(s)
Dendrimers/chemistry , Genetic Therapy/methods , Gene Transfer Techniques , Humans , Micelles , Models, Molecular
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