Evolutionary Sequences and Structural Information-driven Reconstruction of New Insulin-like Growth Factor-I Peptide

Nazam Khan1, Maryam Althobiti1, Raj Kumar Chinnadurai2

  • 1Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Shaqra University, Shaqra, Kingdom of Saudi Arabia.

PubMed
Abstract

Insights

Researchers reconstructed ancestral Insulin-like growth factor-I (IGF-I) sequences to design novel peptide variants. This work advances understanding of IGF-I functionality for developing new anticancer agents.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Structural Biology

Background:

  • Insulin-like growth factor-I (IGF-I) is vital for cell growth, proliferation, and apoptosis.
  • The IGF-I signaling pathway is implicated in various cancers, making IGF-1 receptor (IGF-1R) a therapeutic target.
  • IGF-1R activation promotes tumor cell growth and survival.

Purpose of the Study:

  • To reconstruct ancestral IGF-I sequences and design novel peptide variants.
  • To explore the structural and functional characteristics of IGF-1.
  • To identify new therapeutic strategies targeting the IGF-1 pathway.

Main Methods:

  • Combined evolutionary sequence analysis with structural and functional data of IGF-1.
  • Reconstructed ancestral IGF-1 sequences.
  • Designed novel IGF-1 peptide variants.

Main Results:

  • The insulin-like growth factor system displays significant sequence diversity but conserved structural topology.
  • IGF-1 interacts with cell surface receptors within the IGF system via protein-protein interactions.
  • Reconstructed IGF-1 variants exhibited structural folds similar to viral IGF-1 competitive antagonists.

Conclusions:

  • The findings guide the design of novel IGF-1 mimic peptides.
  • Enhanced understanding of IGF-1 functionality.
  • Opens new therapeutic avenues for anticancer drug development.

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