Domenico Marson

Smoothened (SMO) receptor mutations dictate resistance to vismodegib in basal cell carcinoma

Basal cell carcinomas (BCCs) and a subset of medulloblastomas are characterized by loss‐of‐function mutations in the tumor suppressor gene, PTCH1. PTCH1 normally functions by repressing the activity of the Smoothened (SMO) receptor. Inactivating PTCH1 mutations result in constitutive Hedgehog pathway activity through uncontrolled SMO signaling. Targeting this pathway with vismodegib, a novel SMO inhibitor, results in impressive tumor regression in patients harboring genetic defects in this pathway. However, a secondary mutation in SMO has been reported in medulloblastoma patients following relapse on vismodegib to date. This mutation preserves pathway activity, but appears to confer resistance by interfering with drug binding.

Another brick in the wall. Validation of the σ1 receptor 3D model by computer-assisted design, synthesis, and activity of new σ1 ligands.

Originally considered an enigmatic polypeptide, the σ(1) receptor has recently been identified as a unique ligand-regulated protein. Many studies have shown the potential of σ(1) receptor ligands for the treatment of various diseases of the central nervous system (CNS); nevertheless, almost no information about the 3D structure of the receptor and/or the possible modes of interaction of the σ(1) protein with its ligands have been unveiled so far. With the present work we validated our σ(1) 3D homology model and assessed its reliability as a platform for σ(1) ligand structure-based drug design. To this purpose, the 3D σ(1) model was exploited in the design of 33 new σ(1) ligands and in their ranking for receptor affinity by extensive molecular dynamics simulation-based free energy calculations. Also, the main interactions involved in receptor/ligand binding were analyzed by applying a per residue free energy deconvolution and in silico alanine scanning mutagenesis calculations. Subsequently, all compounds were synthesized in our laboratory and tested for σ(1) binding activity in vitro. The agreement between in silico and in vitro results confirms the reliability of the proposed σ(1) 3D model in the a priori prediction of the affinity of new σ(1) ligands. Moreover, it also supports and corroborates the currently available biochemical data concerning the σ(1) protein residues considered essential for σ(1) ligand binding and activity.

Impact of siRNA Overhangs for Dendrimer-Mediated siRNA Delivery and Gene Silencing

Small interfering RNA (siRNA) have attracted considerable attention, as compelling therapeutics providing safe and competent delivery systems are available. Dendrimers are emerging as appealing siRNA delivery vectors thanks to their unique, well-defined architecture and the resulting cooperativity and multivalency confined within a nanostructure. We have recently disclosed the structurally flexible fifth-generation TEA-core PAMAM dendrimer (G5) as an effective nanocarrier for delivery of sticky siRNA bearing long complementary sequence overhangs (dA)n/(dT)n (n = 5 or 7). Here, using combined experimental/computational approaches, we successfully clarified (i) the underlying mechanisms of interaction between the dendrimer nanovector G5 and siRNA molecules bearing either complementary or noncomplementary sequence overhangs of different length and chemistry and (ii) the impact of siRNA overhangs contributing toward the improved delivery potency. Using siRNA with complementary overhangs offer the best action in term of gene silencing through the formation of concatemers, that is, supramolecular structures resulting from synergistic and cooperative binding via (dA)n/(dT)n bridges (n = 5 or 7). On the other hand, although siRNA bearing long, noncomplementary overhangs (dA)n/(dA)n or (dT)n/(dT)n (n = 5 or 7) are endowed with considerably higher gene silencing potency than normal siRNA with (dT)2/(dT)2, they remain less effective than their sticky siRNA counterparts. The observed gene silencing potency depends on length, nature, and flexibility of the overhangs, which behave as a sort of clamps that hold and interact with the dendrimer nanovectors, thus impacting siRNA delivery performance and, ultimately, gene silencing. Our findings can be instrumental in designing siRNA entities with enhanced capability to achieve effective RNA interference for therapeutic applications.

The sigma enigma: in vitro/in silico site-directed mutagenesis studies unveil σ1 receptor ligand binding.

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.

Tell Me Something I Do Not Know. Multiscale Molecular Modeling of Dendrimer/ Dendron Organization and Self-Assembly In Gene Therapy

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.

Dendrimers in Biomedical Applications

Due to their relative easy synthesis and commercial availability, nanovectors based on dendrimers and dendrons are among the most utilized non‐viral vectors for gene transfer. Concomitantly, 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 fundamental information about the interactions of these nanovectors with their nucleic acid cargoes at a molecular level. In this chapter, we aim at presenting some of our own, collaborative efforts in the field of multiscale molecular modeling of these fascinating materials. The contribution is written with the specific purpose of illustrating the potentiality of computational methodologies and the usefulness of multiscale molecular modeling as an innovative and complementary tool in the current experimental research.

Identification, pharmacological evaluation and binding mode analysis of novel chromene and chromane based σ1 receptor ligands

A set of aminoethyl substituted chromenes 3 and chromanes 4, originally developed as antiprotozoal drugs was evaluated as novel types of σ1 receptor ligands. Analysis of SAR showed that chromenes 3 have a higher σ1 affinity than chromanes 4. A distance of four bond lengths between the basic amino moiety and the phenyl ring (3c), an alicyclic N-substituent such as the cyclohexylmethyl moiety (3l), and methylation of the secondary amine to afford a tertiary amine (3n) result in very high σ1 affinity and selectivity over the σ2 subtype. Compounds 3a-n and 4a-e were docked into the putative binding site of the σ1 receptor model and the relevant binding mode was analyzed and scored. Specifically, for the best σ1 ligand 3n, a salt bridge between Asp126 and the protonated amino group, an H-bond between the receptor backbone NH group (Ala122-Glu123) and the methoxy moiety of 3n, a lipophilic protein cavity encasing the chromene ring, and a T-shaped π-π stacking between the indole ring of Trp121 and the phenyl ring of 3n represent the most important ligand/protein stabilizing interactions. The binding pose of 3n was compared with the binding poses of the non-methylated chromene 3c, the saturated chromane 4c, and the N-cyclohexylmethyl derivative 3l. The contribution of the single amino acids to the overall free binding enthalpy was analyzed.

Gold nanoparticles with patterned surface monolayers for nanomedicine: current perspectives

Molecular self-assembly is a topic attracting intense scientific interest. Various strategies have been developed for construction of molecular aggregates with rationally designed properties, geometries, and dimensions that promise to provide solutions to both theoretical and practical problems in areas such as drug delivery, medical diagnostics, and biosensors, to name but a few. In this respect, gold nanoparticles covered with self-assembled monolayers presenting nanoscale surface patterns—typically patched, striped or Janus-like domains—represent an emerging field. These systems are particularly intriguing for use in bio-nanotechnology applications, as presence of such monolayers with three-dimensional (3D) morphology provides nanoparticles with surface-dependent properties that, in turn, affect their biological behavior. Comprehensive understanding of the physicochemical interactions occurring at the interface between these versatile nanomaterials and biological systems is therefore crucial to fully exploit their potential. This review aims to explore the current state of development of such patterned, self-assembled monolayer-protected gold nanoparticles, through step-by-step analysis of their conceptual design, synthetic procedures, predicted and determined surface characteristics, interactions with and performance in biological environments, and experimental and computational methods currently employed for their investigation.

Quantitative 3D determination of self-assembled structures on nanoparticles using small angle neutron scattering

The ligand shell (LS) determines a number of nanoparticles’ properties. Nanoparticles’ cores can be accurately characterized; yet the structure of the LS, when composed of mixture of molecules, can be described only qualitatively (e.g., patchy, Janus, and random). Here we show that quantitative description of the LS’ morphology of monodisperse nanoparticles can be obtained using small-angle neutron scattering (SANS), measured at multiple contrasts, achieved by either ligand or solvent deuteration. Three-dimensional models of the nanoparticles’ core and LS are generated using an ab initio reconstruction method. Characteristic length scales extracted from the models are compared with simulations. We also characterize the evolution of the LS upon thermal annealing, and investigate the LS morphology of mixed-ligand copper and silver nanoparticles as well as gold nanoparticles coated with ternary mixtures. Our results suggest that SANS combined with multiphase modeling is a versatile approach for the characterization of nanoparticles’ LS.The ligand shell of a nanoparticle remains difficult to resolve, as the available characterization methods provide only qualitative information. Here, the authors introduce an approach based on small-angle neutron scattering that can quantitatively reveal the organization of ligands in mixed-monolayer nanoparticles.

3D Homology Model of Sigma1 Receptor

This chapter presents the three-dimensional (3D) model of the Sigma1 receptor protein as obtained from homology modeling techniques. We show the applicability of this structure to docking-based virtual screening and discuss combined in silico/in vitro mutagenesis studies performed to validate the structural features of the Sigma1 receptor model and to qualify/quantify the prominent role of specific amino acid residues in ligand binding. The validation of the virtual 3D Sigma1 receptor model and its reliable applicability to docking-based virtual screening is of significance for rational ligand design, even in light of the recently reported crystal structure for the Sigma1 receptor.