ArticleScientific reports2018
Global pentapeptide statistics are far away from expected distributions.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Low-complexity regions in fungi display functional groups and are depleted in positively charged amino acids.NAR genomics and bioinformatics · 2025Article
- Unraveling diversity by isolating peptide sequences specific to distinct taxonomic groups.bioRxiv : the preprint server for biology · 2025Article
- A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024Review
- The determinants of the rarity of nucleic and peptide short sequences in nature.NAR genomics and bioinformatics · 2024Article
- Article
- Integration of sulfate assimilation with carbon and nitrogen metabolism in transition from C3 to C4 photosynthesis.Journal of experimental botany · 2019Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The relationships between polypeptide composition, sequence, structure and function have been puzzling biologists ever since first protein sequences were determined. Here, we study the statistics of occurrence of all possible pentapeptide sequences in known proteins. To compensate for the non-uniform distribution of individual amino acid residues in protein sequences, we investigate separately all possible permutations of every given amino acid composition. For the majority of permutation groups we find that pentapeptide occurrences deviate strongly from the expected binomial distributions, and that the observed distributions are also characterized by high numbers of outlier sequences. An analysis of identified outliers shows they often contain known motifs and rare amino acids, suggesting that they represent important functional elements. We further compare the pentapeptide composition of regions known to correspond to protein domains with that of non-domain regions. We find that a substantial number of pentapeptides is clearly strongly favored in protein domains. Finally, we show that over-represented pentapeptides are significantly related to known functional motifs and to predicted ancient structural peptides.
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