ArticleGenome biology and evolution2024
Sequence, Structure, and Functional Space of Drosophila De Novo Proteins.
Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed.
- Review
- Emergence and evolution of protein-coding de novo genes.Nature reviews. Genetics · 2026Review
- Sketching microprotein portraits.Protein science : a publication of the Protein Society · 2026Review
- Dynamic proteomics of Nasonia vitripennis pupal development reveals testis-specific regulation of new proteins (orphans) likely related to exo-α-sialidases.BMC genomics · 2026Article
- Orthologs of an essential orphan gene vary in their capacities for function and subcellular localization in Drosophila melanogaster.Molecular biology and evolution · 2026Article
- Impact of GC content on de novo gene birth.Nature communications · 2026Article
- De Novo Gene Emergence: Summary, Classification, and Challenges of Current Methods.Genome biology and evolution · 2025Review
- Functional innovation through new genes as a general evolutionary process.Nature genetics · 2025Review
- TheBioinformatics advances · 2025Article
- The Rapid Evolution of De Novo Proteins in Structure and Complex.Genome biology and evolution · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
During de novo emergence, new protein coding genes emerge from previously nongenic sequences. The de novo proteins they encode are dissimilar in composition and predicted biochemical properties to conserved proteins. However, functional de novo proteins indeed exist. Both identification of functional de novo proteins and their structural characterization are experimentally laborious. To identify functional and structured de novo proteins in silico, we applied recently developed machine learning based tools and found that most de novo proteins are indeed different from conserved proteins both in their structure and sequence. However, some de novo proteins are predicted to adopt known protein folds, participate in cellular reactions, and to form biomolecular condensates. Apart from broadening our understanding of de novo protein evolution, our study also provides a large set of testable hypotheses for focused experimental studies on structure and function of de novo proteins in Drosophila.
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Registered trials
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