The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Conformations of intrinsically disordered proteins are influenced by linear sequence distributions of oppositely charged residues
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Intrinsically unstructured proteins and their functions
Dyson, H. J., & Wright, P. E. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1589 · Cited by 3,871
Structure of tumor suppressor p53 and its intrinsically disordered N-terminal transactivation domain
Wells, M., Tidow, H., Rutherford, T. J., Markwick, P., Jensen, M. R., Mylonas, E., Svergun, D. I., Blackledge, M., & Fersht, A. R. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801353105 · Cited by 434
Buljan, M., Chalancon, G., Eustermann, S., Wagner, G. P., Fuxreiter, M., Bateman, A., & Babu, M. M. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.05.039 · Cited by 396 · cited 1×
“The sequences of IDPs can also be altered by alternative splicing (39), and for polyampholytic IDPs, the effects of splicing will give rise to altered sequence–ensemble relationships on the protein level.”
BackgroundDescribing sequence–ensemble relationships for intrinsically disordered proteins
Mao, A. H., Lyle, N., & Pappu, R. V. (2013) · Biochemical Journal · doi:10.1042/bj20121346 · Cited by 135
Self-citation
Cited by
Alberti, S., Gladfelter, A., & Mittag, T. (2019) · Cell · doi:10.1016/j.cell.2018.12.035 · Cited by 2,856
InterPro in 2019: improving coverage, classification and access to protein sequence annotations
Mitchell, A. L., Attwood, T. K., Babbitt, P. C., Blum, M., Bork, P., Bridge, A., Brown, S. D., Chang, H.-Y., El-Gebali, S., Fraser, M. I., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1100 · Cited by 1,426
Valence and patterning of aromatic residues determine the phase behavior of prion-like domains
Martin, E. W., Holehouse, A. S., Peran, I., Farag, M., Incicco, J. J., Bremer, A., Grace, C. R., Soranno, A., Pappu, R. V., & Mittag, T. (2020) · Science · doi:10.1126/science.aaw8653 · Cited by 1,147
Self-citationIntrinsically Disordered Proteins and Intrinsically Disordered Protein Regions
Oldfield, C. J., & Dunker, A. K. (2014) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-072711-164947 · Cited by 1,057
Harmon, T. S., Holehouse, A. S., Rosen, M. K., & Pappu, R. V. (2017) · eLife · doi:10.7554/elife.30294 · Cited by 713
Self-citation
Metadata
- Authors
- Das, R. K., & Pappu, R. V.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-07-30
- Volume
- 110
- Issue
- 33
- Pages
- 13392-13397
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2076742999
- Cited by
- 1,023
- References
- 4
- FWCI
- 16.00
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Conformations of intrinsically disordered proteins are influenced by linear sequence distributions of oppositely charged residues. https://app.cochat.ai/papers/10.1073/pnas.1304749110
- The paper
- Das, R. K., & Pappu, R. V. (2013). Conformations of intrinsically disordered proteins are influenced by linear sequence distributions of oppositely charged residues. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1304749110
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.