Pharmacophore anchor models of ATAT1 to discover potential inhibitors and lead optimization

Nung-Yu Hsu1, Nikhil Pathak2, Yun-Ti Chen1

  • 1Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, 30050, Taiwan; Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, 30050, Taiwan.

Insights

Researchers developed pharmacophore models to understand Alpha Tubulin Acetyltransferase 1 (ATAT1) binding. These models identify key interactions and predict potential ATAT1 inhibitors for drug discovery.

Area of Science:

  • Biochemistry and Molecular Biology
  • Drug Discovery and Medicinal Chemistry

Background:

  • Post-translational modification of microtubules is implicated in various diseases, including cancer.
  • Alpha Tubulin Acetyltransferase 1 (ATAT1) is a key enzyme for alpha-tubulin acetylation at Lys-40, a significant drug target lacking inhibitors.

Purpose of the Study:

  • To develop statistically constructed pharmacophore anchor models for ATAT1 to guide drug design and elucidate binding mechanisms.
  • To identify compound moiety preferences and physico-chemical properties crucial for ATAT1 binding site interaction.

Main Methods:

  • Statistical construction of pharmacophore anchor models using thousands of docked compounds.
  • Analysis of conserved moieties interacting with identified sub-pockets (S1 acetyl, S2 adenine, S3 diphosphate sites).
  • Validation through analysis of homologous protein sequences and structures with bound ligands and mutations.

Main Results:

  • The models revealed three primary sub-pockets within the ATAT1 binding site: S1 (acetyl), S2 (adenine), and S3 (diphosphate).
  • Key anchors were identified, showing conserved moiety interactions with sub-pocket residues, crucial for guiding inhibitor discovery.
  • Virtual screening using the developed models successfully predicted several potential ATAT1 inhibitors.

Conclusions:

  • The developed pharmacophore anchor models provide valuable insights into ATAT1 binding mechanisms and compound interactions.
  • These models are instrumental for future inhibitor discovery and optimizing lead compounds targeting ATAT1.
  • The study offers a robust framework for advancing drug development against ATAT1-related diseases.

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