Computational modeling of transforming growth factor β and activin a receptor complex formation in the context of

Stephen M Farmer1, Claudia D Andl1

  • 1Burnett School of Biomedical Sciences, University of Central Florida, Orlando, Florida, USA.

Insights

Investigating the Transforming growth factor-beta (TGFβ) superfamily, this study reveals Activin isoforms

Area of Science:

  • Molecular Biology
  • Biochemistry
  • Structural Biology

Background:

  • The Transforming growth factor-beta (TGFβ) superfamily regulates crucial cellular processes like proliferation and differentiation.
  • Dysregulated TGFβ signaling is implicated in cancer development, making it a target for therapeutic intervention.
  • Understanding the structural basis of TGFβ superfamily signaling is key to developing effective cancer treatments.

Purpose of the Study:

  • To analyze the structure-function relationships of TGFβ superfamily ligands and receptors.
  • To simulate molecular docking of Galunisertib, a TGFβ signaling inhibitor, with target proteins.
  • To elucidate the structural basis of Activin and TGFβ interactions with their receptors and the inhibitory mechanism of Galunisertib.

Main Methods:

  • Utilized various modeling pipelines to analyze TGFβ superfamily structures.
  • Simulated molecular docking of the small molecule inhibitor Galunisertib.
  • Investigated structural dynamics and receptor binding capabilities of Activin isoforms and TGFβ.

Main Results:

  • Activin isoforms exhibit distinct proprotein dimer structures and mature protein flexibility around conserved cystine knots.
  • All Activin isoforms can adopt closed or open dimer states, indicating structural promiscuity for receptor binding.
  • Galunisertib forms stable inhibitory complexes with both TGFβ receptor 1 (TGFβR1) and Activin receptor type 1B (ACVR1B) kinase domains.

Conclusions:

  • Activin and TGFβ signaling pathways share structural similarities and can exhibit cross-reactivity.
  • Galunisertib effectively inhibits both TGFβR1 and ACVR1B, highlighting challenges in targeted TGFβ cascade inhibition.
  • These findings provide insights into the complexities of targeting TGFβ signaling in cancer therapy.

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