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1.
Bioorg Med Chem Lett ; 111: 129905, 2024 Oct 01.
Article in English | MEDLINE | ID: mdl-39067714

ABSTRACT

Here, we report new 2-nitro and/or 4-trifluoromethylphenyl-based small molecules developed as inhibitors of alpha-Syn fibril formation. The set of eighteen compounds was inspired by well-known alpha-Syn aggregation modulators retrieved from literature. The preliminary biochemical data suggested that the two molecules out of eighteen compounds exerted activity comparable to that of reference compound SynuClean-D (SC-D, 5-nitro-6-(3-nitrophenyl)-2-oxo-4-(trifluoromethyl)-1H-pyridine-3-carbonitrile), according to Thioflavin T kinetics. Pharmacophore modelling deciphered the main structural requirements for alpha-Syn aggregation modulators. Moreover, docking and molecular dynamics simulations depicted the binding mode with the targeted alpha-Syn fibrils. The structural data of these new potential α-Syn binders might furnish additional information for understanding the mechanism of action of the ligands that specifically target the NAC domain as theranostic agents for α-synucleopathies.


Subject(s)
Nitro Compounds , Humans , Structure-Activity Relationship , Molecular Structure , Nitro Compounds/chemistry , Nitro Compounds/pharmacology , Nitro Compounds/chemical synthesis , Protein Aggregates/drug effects , Dose-Response Relationship, Drug , Small Molecule Libraries/chemistry , Small Molecule Libraries/pharmacology , Small Molecule Libraries/chemical synthesis , Molecular Docking Simulation
2.
Int J Mol Sci ; 23(23)2022 Nov 27.
Article in English | MEDLINE | ID: mdl-36499173

ABSTRACT

α-Synuclein (α-Syn) aggregates are implicated in Parkinson's disease (PD), so inhibitors of α-Syn aggregation have been intensively explored. It has been demonstrated that small molecules might be able to reduce α-Syn aggregation in fibrils, thus exerting neuroprotective effects in models of PD. To expand our knowledge about the structural requirements for blocking the recognition process into the oligomeric assembly of α-Syn aggregates, we performed a ligand-based virtual screening procedure using two well-known α-Syn aggregation inhibitors, SynuClean-D and ZPD-2, as query compounds. A collection of thirty-four compounds bearing distinct chemical functionalities and mutual chemical features were studied in a Th-T fluorescence test, thus identifying 5-(2,6-dinitro-4-(trifluoromethyl)benzyl)-1-methyl-1H-tetrazole (named MeSC-04) as a potent α-Syn amyloid formation inhibitor that demonstrated similar behavior when compared to SynuClean-D in the thioflavin-T-monitored kinetic assays, with both molecules reducing the number and size of amyloid fibrils, as evidenced by electron microscopy. Molecular modeling studies suggested the binding mode of MeSC-04 through the identification of putative druggable pockets on α-syn fibrils and a subsequent consensus docking methodology. Overall, this work could furnish new insights in the development of α-Syn amyloid inhibitors from synthetic sources.


Subject(s)
Parkinson Disease , alpha-Synuclein , Humans , alpha-Synuclein/metabolism , Amyloid/metabolism , Ligands , Parkinson Disease/drug therapy , Parkinson Disease/metabolism , Amyloidogenic Proteins
3.
Biomolecules ; 12(4)2022 03 22.
Article in English | MEDLINE | ID: mdl-35454070

ABSTRACT

The merging of distinct computational approaches has become a powerful strategy for discovering new biologically active compounds. By using molecular modeling, significant efforts have recently resulted in the development of new molecules, demonstrating high efficiency in reducing the replication of severe acute respiratory coronavirus 2 (SARS-CoV-2), the agent responsible for the COVID-19 pandemic. We have focused our interest on non-structural protein Nsp13 (NTPase/helicase), as a crucial protein, embedded in the replication-transcription complex (RTC), that controls the virus life cycle. To assist in the identification of the most druggable surfaces of Nsps13, we applied a combination of four computational tools: FTMap, SiteMap, Fpocket and LigandScout. These software packages explored the binding sites for different three-dimensional structures of RTC complexes (PDB codes: 6XEZ, 7CXM, 7CXN), thus, detecting several hot spots, that were clustered to obtain ensemble consensus sites, through a combination of four different approaches. The comparison of data provided new insights about putative druggable sites that might be employed for further docking simulations on druggable surfaces of Nsps13, in a scenario of repurposing drugs.


Subject(s)
Antiviral Agents , RNA Helicases , SARS-CoV-2 , Viral Nonstructural Proteins , Antiviral Agents/chemistry , Binding Sites , COVID-19 , Humans , Pandemics , RNA Helicases/antagonists & inhibitors , SARS-CoV-2/drug effects , Viral Nonstructural Proteins/antagonists & inhibitors
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