Bioinformatic Analysis of WNT Family Proteins
WNT proteins constitute a highly conserved family of signaling molecules that play an important role in regulating embryonic development and maintaining adult tissue homeostasis. Their diverse biological functions are mediated through multiple signaling pathways, including both canonical β-catenin-dependent and several non-canonical mechanisms. The regulatory activity of WNT proteins is closely linked to their unique structural organization, the presence of N-terminal signal peptides, and posttranslational modifications. In this study, <i>in silico</i> methods were used to analyze the structural features of WNT proteins. Specifically, the isoelectric points, GRAVY scores, aliphatic indices, and instability indices were determined, and correlation analysis was performed to examine relationships between the latter three parameters. In addition, the characteristics of N-terminal signal peptides in WNT family proteins were investigated, with a particular focus on the bioinformatic prediction of N-terminal peptide lengths in the WNT2B protein isoforms. Furthermore, <i>in silico</i> modeling and molecular dynamics simulations were employed to study the tertiary structure of WNT2B and to assess the significance of O-acylation at serine for the behavior of the mature protein in an aqueous environment. Thus, using computational approaches, new data were obtained on the structural features and dynamic properties of this group of regulatory proteins.
Authors
- Mykyta Peka (ORCID: https://orcid.org/0000-0003-0612-1164)
- N. E. Volkova (ORCID: https://orcid.org/0000-0002-3948-4896)
- Konstantin Midlovets
Institutions
- National Academy of Agrarian Sciences of Ukraine (UA)
- D. F. Chebotarev State Institute of Gerontology of the National Academy of Medical Sciences of Ukraine (UA)
- National Academy of Medical Sciences of Ukraine (UA)
- V. N. Karazin Kharkiv National University (UA)
Publication Details
- Journal
- Bioinformatics and Biology Insights
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1177/11779322251353347
- Citations
- 1
- Primary Topic
- Cancer-related gene regulation
- Type
- article
- Field-Weighted Citation Impact
- 0.81