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1.
Bioorg Med Chem ; 28(20): 115700, 2020 10 15.
Article in English | MEDLINE | ID: mdl-33069076

ABSTRACT

The aggregation of ß-amyloid peptides is associated to neurodegeneration in Alzheimer's disease (AD) patients. Consequently, the inhibition of both oligomerization and fibrillation of ß-amyloid peptides is considered a plausible therapeutic approach for AD. Herein, the synthesis of new naphthalene derivatives and their evaluation as anti-ß-amyloidogenic agents are presented. Molecular dynamic simulations predicted the formation of thermodynamically stable complexes between the compounds, the Aß1-42 peptide and fibrils. In human microglia cells, these compounds inhibited the aggregation of Aß1-42 peptide. The lead compound 8 showed a high affinity to amyloid plaques in mice brain ex vivo assays and an adequate log Poct/PBS value. Compound 8 also improved the cognitive function and decreased hippocampal ß-amyloid burden in the brain of 3xTg-AD female mice. Altogether, our results suggest that 8 could be a novel therapeutic agent for AD.


Subject(s)
Alzheimer Disease/drug therapy , Amyloid beta-Peptides/antagonists & inhibitors , Naphthalenes/pharmacology , Neuroprotective Agents/pharmacology , Peptide Fragments/antagonists & inhibitors , Protein Aggregates/drug effects , Protein Aggregation, Pathological/drug therapy , Alzheimer Disease/metabolism , Amyloid beta-Peptides/metabolism , Animals , Astrocytes/drug effects , Astrocytes/metabolism , Dose-Response Relationship, Drug , Mice , Mice, Inbred C57BL , Molecular Dynamics Simulation , Molecular Structure , Naphthalenes/chemical synthesis , Naphthalenes/chemistry , Neuroprotective Agents/chemical synthesis , Neuroprotective Agents/chemistry , Peptide Fragments/metabolism , Protein Aggregation, Pathological/metabolism , Structure-Activity Relationship , Thermodynamics
2.
J Mol Model ; 26(8): 222, 2020 Aug 04.
Article in English | MEDLINE | ID: mdl-32748063

ABSTRACT

We followed a comprehensive computational strategy to understand and eventually predict the structure-activity relationship of thirty-three 1,3-disubstituted imidazole [1,5-α] pyrazine derivatives described as ATP competitive inhibitors of the IGF-1 receptor related to Ewing sarcoma. The quantitative structure-activity relationship model showed that the inhibitory potency is correlated with the molar volume, a steric descriptor and the net charge calculated value on atom C1 (q1) and N4 (q4) of the pharmacophore, all of them appearing to give a positive contribution to the inhibitory activity. According to experimental and calculated values, the most potent compound would be 3-[4-(azetidin-2-ylmethyl) cyclohexyl]-1-[3-(benzyloxy) phenyl] imidazo [1,5-α]pyrazin-8-amine (compound 23). Docking was used to guess important residues involved in the ATP-competitive inhibitory activity. It was validated by 200 ns of molecular dynamics (MD) simulation using improved linear interaction energy (LIE) method. MD of previously preferred structures by docking shows that the most potent ligand could establish hydrogen bonds with the ATP-binding site of the receptor, and the Ser979 and Ser1059 residues contribute favourably to the binding stability of compound 23. MD simulation also gave arguments about the chemical structure of the compound 23 being able to fit in the ATP-binding pocket, expecting to remain stable into it during the entire simulation and allowing us to hint the significant contribution expected to be given by electrostatic and hydrophobic interactions to the ligand-receptor complex stability. This computational combined strategy here described could represent a useful and effective prime approach to guide the identification of tyrosine kinase inhibitors as new lead compounds.


Subject(s)
Adenosine Triphosphate/chemistry , Antineoplastic Agents/chemistry , Imidazoles/chemistry , Models, Molecular , Pyrazines/chemistry , Quantitative Structure-Activity Relationship , Receptor, IGF Type 1/chemistry , Animals , Antineoplastic Agents/pharmacology , Binding Sites , Binding, Competitive , Cell Line , Humans , Hydrophobic and Hydrophilic Interactions , Ligands , Mice , Molecular Docking Simulation , Molecular Dynamics Simulation , Molecular Structure , Protein Binding , Pyrazines/pharmacology , Receptor, IGF Type 1/antagonists & inhibitors , Reproducibility of Results
3.
Curr Radiopharm ; 12(1): 58-71, 2019.
Article in English | MEDLINE | ID: mdl-30605068

ABSTRACT

BACKGROUND: Alzheimer's disease (AD) is the most common form of dementia. Neuroimaging methods have widened the horizons for AD diagnosis and therapy. The goals of this work are the synthesis of 2-(3-fluoropropyl)-6-methoxynaphthalene (5) and its [18F]-radiolabeled counterpart ([18F]Amylovis), the in silico and in vitro comparative evaluations of [18F]Amylovis and [11C]Pittsburg compound B (PIB) and the in vivo preclinical evaluation of [18F]Amylovis in transgenic and wild mice. METHODS: Iron-catalysis cross coupling reaction, followed by fluorination and radiofluorination steps were carried out to obtain 5 and 18F-Amylovis. Protein/Aß plaques binding, biodistribution, PET/CT Imaging and immunohistochemical studies were conducted in healthy/transgenic mice. RESULTS: The synthesis of 5 was successful obtained. Comparative in silico studies predicting that 5 should have affinity to the Aß-peptide, mainly through π-π interactions. According to a dynamic simulation study the ligand-Aß peptide complexes are stable in simulation-time (ΔG = -5.31 kcal/mol). [18F]Amylovis was obtained with satisfactory yield, high radiochemical purity and specific activity. The [18F]Amylovis log Poct/PBS value suggests its potential ability for crossing the blood brain barrier (BBB). According to in vitro assays, [18F]Amylovis has an adequate stability in time. Higher affinity to Aß plaques were found for [18F]Amylovis (Kd 0.16 nmol/L) than PIB (Kd 8.86 nmol/L) in brain serial sections of 3xTg-AD mice. Biodistribution in healthy mice showed that [18F]Amylovis crosses the BBB with rapid uptake (7 %ID/g at 5 min) and good washout (0.11±0.03 %ID/g at 60 min). Comparative PET dynamic studies of [18F]Amylovis in healthy and transgenic APPSwe/PS1dE9 mice, revealed a significant high uptake in the mice model. CONCLUSION: The in silico, in vitro and in vivo results justify that [18F]Amylovis should be studied as a promissory PET imaging agent to detect the presence of Aß senile plaques.


Subject(s)
Carbon Radioisotopes/chemistry , Fluorine Radioisotopes/chemistry , Fluorine Radioisotopes/pharmacology , Naphthalenes/chemistry , Neuroimaging/methods , Plaque, Amyloid/diagnostic imaging , Positron Emission Tomography Computed Tomography , Radiochemistry/methods , Radiopharmaceuticals/chemical synthesis , Radiopharmaceuticals/pharmacology , Animals , Computer Simulation , Immunohistochemistry , Male , Mice , Mice, Inbred BALB C , Mice, Inbred C57BL , Tissue Distribution
4.
Molecules ; 23(3)2018 Mar 19.
Article in English | MEDLINE | ID: mdl-29562662

ABSTRACT

Human islet amyloid peptide (hIAPP1-37) aggregation is an early step in Diabetes Mellitus. We aimed to evaluate a family of pharmaco-chaperones to act as modulators that provide dynamic interventions and the multi-target capacity (native state, cytotoxic oligomers, protofilaments and fibrils of hIAPP1-37) required to meet the treatment challenges of diabetes. We used a cross-functional approach that combines in silico and in vitro biochemical and biophysical methods to study the hIAPP1-37 aggregation-oligomerization process as to reveal novel potential anti-diabetic drugs. The family of pharmaco-chaperones are modulators of the oligomerization and fibre formation of hIAPP1-37. When they interact with the amino acid in the amyloid-like steric zipper zone, they inhibit and/or delay the aggregation-oligomerization pathway by binding and stabilizing several amyloid structures of hIAPP1-37. Moreover, they can protect cerebellar granule cells (CGC) from the cytotoxicity produced by the hIAPP1-37 oligomers. The modulation of proteostasis by the family of pharmaco-chaperones A-F is a promising potential approach to limit the onset and progression of diabetes and its comorbidities.


Subject(s)
Amyloid/chemistry , Diabetes Mellitus/drug therapy , Drug Discovery , Islet Amyloid Polypeptide/chemistry , Molecular Targeted Therapy , Animals , Cell Survival/drug effects , Cerebellum/pathology , Curcumin/chemistry , Curcumin/therapeutic use , Diabetes Mellitus/pathology , Humans , Islet Amyloid Polypeptide/toxicity , Islet Amyloid Polypeptide/ultrastructure , Kinetics , Mice , Molecular Docking Simulation , Protein Aggregates , Protein Folding , Protein Multimerization , Rats, Wistar
5.
J Steroid Biochem Mol Biol ; 138: 348-58, 2013 Nov.
Article in English | MEDLINE | ID: mdl-23872659

ABSTRACT

Parallel ligand- and structure-based virtual screenings of 269 steroids with anabolic activity evaluated in vivo were performed. The quantitative structure-activity relationship (QSAR) model expressed by selected descriptors as the octanol-water partition coefficient, the molar volume and the quantum mechanical calculated charge values on atoms C1, C2, C5, C9, C10, C14 and C17 of the steroid skeleton, expresses structural features of anabolic steroids (AS) contributing to the transport and steroid-receptor interaction. On the other hand, computational simulations of a candidate ligand binding to a receptor study (a "docking" procedure) predict the association of these AS with the human androgen receptor (AR). Fourteen compounds were identified as lead; the most potent was the 7α-methylestr-4-en-3, 17-dione. It was concluded that a good anabolic activity requires hydrogen bonding interactions between both Arg752 and Gln711 residues in the cycles A with O3 atom of the steroid and either Asn705 and Thr877 residues in the cycles D of steroid with O17 atom.


Subject(s)
Anabolic Agents/chemistry , Anabolic Agents/metabolism , Quantitative Structure-Activity Relationship , Steroids/chemistry , Steroids/metabolism , Cluster Analysis , Humans , Receptors, Androgen/chemistry , Receptors, Androgen/metabolism
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