ArticleBiomolecules2022
The Difference in Structural States between Canonical Proteins and Their Isoforms Established by Proteome-Wide Bioinformatics Analysis.
Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Long-Read RNA Sequencing Reveals an Isoform Switching Pattern in Healthy Microglial Cell Lines Exposed to Radiotherapy.Non-coding RNA · 2026Article
- TDP-43: [GU]-ardian of the transcriptome.Molecular neurodegeneration · 2026Review
- Protein tandem repeats that produce frameshifts can generate new structural states and functions.The FEBS journal · 2026Article
- Serum DIP2C protein concentration in human colorectal cancer among Yemeni patients.Frontiers in oncology · 2026Article
- Ten rules for a structural bioinformatic analysis.PLoS computational biology · 2025Article
- Predicting the structural impact of human alternative splicing.Genome biology · 2025Article
- Toward a comprehensive profiling of alternative splicing proteoform structures, interactions and functions.Current opinion in structural biology · 2025Review
- Splicing the Difference: Harnessing the Complexity of the Transcriptome in Hematopoiesis.Experimental hematology · 2024Review
- The impact of genetically controlled splicing on exon inclusion and protein structure.PloS one · 2024Article
- Predicting the Structural Impact of Human Alternative Splicing.bioRxiv : the preprint server for biology · 2023Article
- Per Aspera ad Chaos: Vladimir Uversky's Odyssey through the Strange World of Intrinsically Disordered Proteins.Biomolecules · 2023Article
- Re-evaluating the impact of alternative RNA splicing on proteomic diversity.Frontiers in genetics · 2023Review
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
Alternative splicing is an important means of generating the protein diversity necessary for cellular functions. Hence, there is a growing interest in assessing the structural and functional impact of alternative protein isoforms. Typically, experimental studies are used to determine the structures of the canonical proteins ignoring the other isoforms. Therefore, there is still a large gap between abundant sequence information and meager structural data on these isoforms. During the last decade, significant progress has been achieved in the development of bioinformatics tools for structural and functional annotations of proteins. Moreover, the appearance of the AlphaFold program opened up the possibility to model a large number of high-confidence structures of the isoforms. In this study, using state-of-the-art tools, we performed in silico analysis of 58 eukaryotic proteomes. The evaluated structural states included structured domains, intrinsically disordered regions, aggregation-prone regions, and tandem repeats. Among other things, we found that the isoforms have fewer signal peptides, transmembrane regions, or tandem repeat regions in comparison with their canonical counterparts. This could change protein function and/or cellular localization. The AlphaFold modeling demonstrated that frequently isoforms, having differences with the canonical sequences, still can fold in similar structures though with significant structural rearrangements which can lead to changes of their functions. Based on the modeling, we suggested classification of the structural differences between canonical proteins and isoforms. Altogether, we can conclude that a majority of isoforms, similarly to the canonical proteins are under selective pressure for the functional roles.
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