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Structure-based virtual screening to identify novel carnitine acetyltransferase activators.

Rosella Ombrato1, Lara Console2, Benedetta Righino1

  • 1Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168, Roma, Italy.

Journal of Molecular Graphics & Modelling
|August 8, 2020
PubMed
Summary

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Characterization of the lysosomal arginine transporter SLC7A14.

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Therapeutic potential of mitochonic acid (MA-5) in modulating mitochondrial function and inflammatory responses: A focus on carnitine/acylcarnitine carrier (SLC25A20) transport activity.

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Researchers discovered novel carnitine acetyltransferase (CAT) activators for fibrosis treatment. Structure-based virtual screening identified promising compounds for further drug development.

Area of Science:

  • Biochemistry
  • Pharmacology
  • Drug Discovery

Background:

  • Fibrosis is a pathological condition involving excessive deposition of extracellular matrix.
  • Carnitine acetyltransferase (CAT) is a potential therapeutic target for treating fibrosis.
  • Current therapeutic strategies for fibrosis are limited.

Purpose of the Study:

  • To identify novel activators of Carnitine acetyltransferase (CAT) as a potential anti-fibrotic therapy.
  • To utilize structure-based virtual screening and molecular dynamics simulations for drug discovery.
  • To validate computational findings through in vitro experimental testing.

Main Methods:

  • A large library of 13 million drug-like molecules was filtered to 10,000 compounds.
  • Structure-based virtual screening and molecular docking were employed to identify potential CAT activators.
Keywords:
CurcuminFibrosisMolecular dockingMolecular dynamics simulationsVirtual hits

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  • Molecular dynamics simulations were used to assess binding modes and complex stability.
  • In vitro experimental testing was performed to validate computational predictions.
  • Main Results:

    • Three hit compounds exhibiting promising CAT activating activity were identified.
    • The identified compounds demonstrated stable binding to the CAT active site.
    • These compounds can serve as scaffolds for further structural optimization.
    • This study represents the first report of discovering CAT activators via structure-based virtual screening.

    Conclusions:

    • Structure-based virtual screening is an effective strategy for identifying novel drug candidates.
    • The identified CAT activators hold potential for developing new anti-fibrotic therapies.
    • Further structural optimization of these hit compounds is warranted to enhance their therapeutic efficacy.