ArticleProceedings of the National Academy of Sciences of the United States of America2013
Conformations of intrinsically disordered proteins are influenced by linear sequence distributions of oppositely charged residues.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 554 papers.
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554 citing papers in PubMed.
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- FAIDR-Desi: interactive software for feature analysis and design of intrinsically disordered regions.Bioinformatics (Oxford, England) · 2026Article
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- Designed IDPs phase separate and mix or demix according to sequence designed parameters.bioRxiv : the preprint server for biology · 2026Article
- Embrace Disorder as a Function: Bio-Informed Biomaterials Design Advanced by Intrinsically Disordered Proteins.Biomimetics (Basel, Switzerland) · 2026Article
- Interpretable biophysical neural networks of transcriptional activation domains separate roles of protein abundance and coactivator binding.Cell systems · 2026Article
- Beyond the structure-function paradigm: A comprehensive review of intrinsically disordered proteins.Biochemistry and biophysics reports · 2026Review
- Multisite Threonine Phosphorylation in the SPT5 C-Terminal Region 1 Enables Sequence-Dependent Regulation without Global Structural Remodeling.The journal of physical chemistry. B · 2026Article
- RNA polymerase II CTD Ser5 phosphorylation induces competing effects of expansion and compaction.Biophysical journal · 2026Article
- Topological Entanglement in Intrinsically Disordered Proteins: Sequence, Structural, and Functional Determinants.The journal of physical chemistry. B · 2026Article
- Molecular dynamics simulations of intrinsically disordered protein regions enable biophysical interpretation of variant-effect predictors.HGG advances · 2026Article
- Structural Features of a Tiny Viral Protein, ORF7b of SARS-CoV-2.International journal of molecular sciences · 2026Article
- Analysis and design of disordered polypeptides with optimized sequence patterning properties.PLoS computational biology · 2026Article
- HyRes: Accurate Physics-Based Simulation of Dynamic Protein Structures and Interactions in Complex Environments at Scale.bioRxiv : the preprint server for biology · 2026Article
- Customizing Ionic Micelles by Dynamic Coassembly of Sequence-Defined Peptoid Block Copolymers.Macromolecules · 2026Article
- In Search of Shape in the Unshaped: Constructing Ensembles of Intrinsically Disordered Proteins.Biophysics reviews · 2026Article
- Short autoinhibitory sequences control phase separation of an essential bacterial transcription termination factor.The EMBO journal · 2026Article
- QuantumPDB: A Workflow for High-Throughput Quantum Cluster Model Generation from Protein Structures.Journal of chemical information and modeling · 2026Article
494 more citing papers are in PubMed but not listed here.
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2 authors.
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Abstract
The functions of intrinsically disordered proteins (IDPs) are governed by relationships between information encoded in their amino acid sequences and the ensembles of conformations that they sample as autonomous units. Most IDPs are polyampholytes, with sequences that include both positively and negatively charged residues. Accordingly, we focus here on the sequence-ensemble relationships of polyampholytic IDPs. The fraction of charged residues discriminates between weak and strong polyampholytes. Using atomistic simulations, we show that weak polyampholytes form globules, whereas the conformational preferences of strong polyampholytes are determined by a combination of fraction of charged residues values and the linear sequence distributions of oppositely charged residues. We quantify the latter using a patterning parameter κ that lies between zero and one. The value of κ is low for well-mixed sequences, and in these sequences, intrachain electrostatic repulsions and attractions are counterbalanced, leading to the unmasking of preferences for conformations that resemble either self-avoiding random walks or generic Flory random coils. Segregation of oppositely charged residues within linear sequences leads to high κ-values and preferences for hairpin-like conformations caused by long-range electrostatic attractions induced by conformational fluctuations. We propose a scaling theory to explain the sequence-encoded conformational properties of strong polyampholytes. We show that naturally occurring strong polyampholytes have low κ-values, and this feature implies a selection for random coil ensembles. The design of sequences with different κ-values demonstrably alters the conformational preferences of polyampholytic IDPs, and this ability could become a useful tool for enabling direct inquiries into connections between sequence-ensemble relationships and functions of IDPs.
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