Biophysical characterization of high-confidence, small human proteins
Open accessPreprint — published as 10.1016/j.bpr.2024.100167 · Paper page
Abstract
Significant efforts have been made to characterize the biophysical properties of proteins. Small proteins have received less attention because their annotation has historically been less reliable. However, recent improvements in sequencing, proteomics, and bioinformatics techniques have led to the high-confidence annotation of small open reading frames (smORFs) that encode for functional proteins, producing smORF-encoded proteins (SEPs). SEPs have been found to perform critical functions in several species, including humans. While significant efforts have been made to annotate SEPs, less attention has been given to the biophysical properties of these proteins. We characterized the distributions of predicted and curated biophysical properties, including sequence composition, structure, localization, function, and disease association of a conservative list of previously identified human SEPs. We found significant differences between SEPs and both larger proteins and control sets. Additionally, we provide an example of how our characterization of biophysical properties can contribute to distinguishing protein-coding smORFs from non-coding ones in otherwise ambiguous cases.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Mudge, J. M., Jungreis, I., Hunt, T., Gonzalez, J. M., Wright, J. C., Kay, M., Davidson, C., Fitzgerald, S., Seal, R., Tweedie, S., et al. (2019) · Genome Research · doi:10.1101/gr.246462.118 · Cited by 80 · cited 1× · see citing works
“Characterizing smORFs that encode functional proteins among the millions of putative smORFs has remained challenging(94) .”
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- Authors
- Whited, A. M., Jungreis, I., Allen, J., Cleveland, C., Mudge, J. M., Kellis, M., Rinn, J., & Hough, L. E.
- Affiliations
- University of Colorado Boulder (US)
- Broad Institute (US)
- European Bioinformatics Institute (GB)
- Corresponding author
- Hough, Loren E
- ORCID
- Venue
- Biophysical Reports
- Publisher
- openRxiv
- Published
- 2024-04-15
- Volume
- 4
- Issue
- 3
- Pages
- 100167-100167
- ISSN
- 2667-0747 (ISSN-L)
- PMC
- PMC11305224
- OpenAlex
- W4399920386
- Cited by
- 5
- References
- 2
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2
- FWCI
- 0.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Biophysical Reports (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health
- National Human Genome Research Institute (U41HG007234, R01HG004037)
- National Institute of General Medical Sciences (T32GM065103, R35GM119755)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- small proteins, small open reading frames, human protein, protein structure, protein localization, protein function, disease association, sequence composition, protein annotation
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