bioRxivBioinformaticsPreprint
Systematic characterization of protein structural features of alternative splicing isoforms using AlphaFold 2
Yuntao YangiD, Yuhan XieiD, Li ZhaoiD, Chiamaka S DialaiD, Meer Akbar Ali, Rongbin LiiD, Yi XuiD, Albon Wu, Pora KimiD, Sayed‐Rzgar HosseiniiD, Erfei BiiD, Hongyu ZhaoiD, Wenjin Jim ZhengiD
Abstract
Alternative splicing is an important cellular process in eukaryotes, altering pre-mRNA to yield multiple protein isoforms from a single gene. However, our understanding of the impact of alternative splicing events on protein structures is currently constrained by a lack of sufficient protein structural data. To address this limitation, we employed AlphaFold 2, a cutting-edge protein structure prediction tool, to conduct a comprehensive analysis of alternative splicing for approximately 3,000 human genes, providing valuable insights into its impact on the protein structural. Our investigation employed state of the art high-performance computing infrastructure to systematically characterize structural features in alternatively spliced regions and identified changes in protein structure following alternative splicing events. Notably, we found that alternative splicing tends to alter the structure of residues primarily located in coils and beta-sheets. Our research highlighted a significant enrichment of loops and highly exposed residues within human alternatively spliced regions. Specifically, our examination of the Septin-9 protein revealed potential associations between loops and alternative splicing, providing insights into its evolutionary role. Furthermore, our analysis uncovered two missense mutations in the Tau protein that could influence alternative splicing, potentially contributing to the pathogenesis of Alzheimers disease. In summary, our work, through a thorough statistical analysis of extensive protein structural data, sheds new light on the intricate relationship between alternative splicing, evolution, and human disease.
- organism: human
- assay: protein structure
- research focus: protein structure prediction
- research focus: differential expression
- research focus: variant effect prediction
- approach: deep learning
- approach: statistical model
- Citations
- 2
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Predicting the Structural Impact of Human Alternative Splicing
Yuxuan Song, Chengxin Zhang, … Joshua D. Welch·Genome biologyPeer-reviewed·Sep 17, 2025
- Building alternative splicing and evolution-aware sequence-structure maps for protein repeats
Antoine Szatkownik, Diego Javier Zea, … Élodie Laine·Journal of Structural BiologyPeer-reviewed·Sep 1, 2023
- IsoformMapper: A Web Application for Protein-Level Comparison of Splice Variants through Structural Community Analysis
Alexander Vergara, Tamara Hernández‐Verdeja, … Åsa Strand·RNAPeer-reviewed·Oct 24, 2025
- Navigating the Unstructured by Evaluating AlphaFold's Efficacy in Predicting Missing Residues and Structural Disorder in Proteins
Sen Zheng·PLoS ONEPeer-reviewed·Mar 25, 2025
- SpliceImpactR maps alternative RNA processing events driving protein functional diversity
Zachary Peters Wakefield, Ana Fiszbein·Nucleic Acids ResearchPeer-reviewed·Aug 7, 2026
- Evaluating the performance of protein structure prediction in detecting structural changes of pathogenic nonsynonymous single nucleotide variants
Hong-Sheng Lai, Chien‐Yu Chen·International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)Peer-reviewed·Jan 1, 2024