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S Shiva Shankar1,2, Reema Banarjee1, Swaraj M Jathar1,2

  • 1Proteomics Facility, Division of Biochemical Sciences, CSIR-National Chemical Laboratory, Pune, India.

Journal of Biomolecular Structure & Dynamics
|June 8, 2023
PubMed
Summary
This summary is machine-generated.

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Meteorin (Metrn) and Meteorin-like (Metrnl) proteins, crucial for neural and metabolic functions, were structurally analyzed. This study identified their functional domains and receptor binding sites, offering insights into their roles in health and diseases like diabetes.

Area of Science:

  • Structural biology
  • Bioinformatics
  • Molecular biology

Background:

  • Meteorin (Metrn) and Meteorin-like (Metrnl) are homologous secreted proteins.
  • These proteins play roles in neural development and metabolic regulation.

Purpose of the Study:

  • To perform de novo structure prediction and domain analysis of Metrn and Metrnl.
  • To identify receptor binding regions and analyze the impact of genetic variants on protein structure and function.

Main Methods:

  • De novo structure prediction using AlphaFold2 and RoseTTAfold.
  • Domain and homology analysis, machine learning tools (ScanNet, Masif) for receptor binding site identification.
  • Protein-protein docking and bioinformatics analysis of non-synonymous SNPs.
Keywords:
Meteorindomainsmeteorin-likemissense variantsprotein–protein interactionsstructure prediction

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Main Results:

  • Identified two functional domains (CUB and NTR) connected by a hinge region in Metrn and Metrnl.
  • Pinpointed receptor binding regions and validated Metrnl-KIT receptor interaction.
  • Identified 26 missense variants (16 in Metrn, 10 in Metrnl) potentially affecting protein stability.

Conclusions:

  • This is the first comprehensive structural characterization of Metrn and Metrnl functional domains and binding regions.
  • Elucidated the interaction mechanism between Metrnl and the KIT receptor.
  • Predicted deleterious SNPs provide a basis for understanding their role in diseases like diabetes.