ArticleMolecules (Basel, Switzerland)2020
Disordered Residues and Patterns in the Protein Data Bank.
Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- IDRdecoder: a machine learning approach for rational drug discovery toward intrinsically disordered regions.Frontiers in bioinformatics · 2025Article
- Additional principles that govern the release of pre-ribosomes from the nucleolus into the nucleoplasm in yeast.Nucleic acids research · 2023Article
- Regions with two amino acids in protein sequences: A step forward from homorepeats into the low complexity landscape.Computational and structural biotechnology journal · 2022Article
- Slowest-first protein translation scheme: Structural asymmetry and co-translational folding.Biophysical journal · 2021Article
- Is there an advantageous arrangement of aromatic residues in proteins? Statistical analysis of aromatic interactions in globular proteins.Computational and structural biotechnology journal · 2021Article
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Authors and funding
3 authors.
Funding
Abstract
We created a new library of disordered patterns and disordered residues in the Protein Data Bank (PDB). To obtain such datasets, we clustered the PDB and obtained the groups of chains with different identities and marked disordered residues. We elaborated a new procedure for finding disordered patterns and created a new version of the library. This library includes three sets of patterns: unique patterns, patterns consisting of two kinds of amino acids, and homo-repeats. Using this database, the user can: (1) find homologues in the entire Protein Data Bank; (2) perform a statistical analysis of disordered residues in protein structures; (3) search for disordered patterns and homo-repeats; (4) search for disordered regions in different chains of the same protein; (5) download clusters of protein chains with different identity from our database and library of disordered patterns; and (6) observe 3D structure interactively using MView. A new library of disordered patterns will help improve the accuracy of predictions for residues that will be structured or unstructured in a given region.
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