The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Probing protein structure by limited proteolysis.
Open accessAbstract
Limited proteolysis experiments can be successfully used to probe conformational features of proteins. In a number of studies it has been demonstrated that the sites of limited proteolysis along the polypeptide chain of a protein are characterized by enhanced backbone flexibility, implying that proteolytic probes can pinpoint the sites of local unfolding in a protein chain. Limited proteolysis was used to analyze the partly folded (molten globule) states of several proteins, such as apomyoglobin, alpha-lactalbumin, calcium-binding lysozymes, cytochrome c and human growth hormone. These proteins were induced to acquire the molten globule state under specific solvent conditions, such as low pH. In general, the protein conformational features deduced from limited proteolysis experiments nicely correlate with those deriving from other biophysical and spectroscopic techniques. Limited proteolysis is also most useful for isolating protein fragments that can fold autonomously and thus behave as protein domains. Moreover, the technique can be used to identify and prepare protein fragments that are able to associate into a native-like and often functional protein complex. Overall, our results underscore the utility of the limited proteolysis approach for unravelling molecular features of proteins and appear to prompt its systematic use as a simple first step in the elucidation of structure-dynamics-function relationships of a novel and rare protein, especially if available in minute amounts.
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
Inherent toxicity of aggregates implies a common mechanism for protein misfolding diseases
Bucciantini, M., Giannoni, E., Chiti, F., Baroni, F., Formigli, L., Zurdo, J., Taddei, N., Ramponi, G., Dobson, C. M., & Stefani, M. (2002) · Nature · doi:10.1038/416507a · Cited by 2,434
Intrinsic Disorder and Protein Function
Dunker, A. K., Brown, C. J., Lawson, J. D., Iakoucheva, L. M., & Obradović, Z. (2002) · Biochemistry · doi:10.1021/bi012159+ · Cited by 1,731
The protein trinity—linking function and disorder
Dunker, A. K., & Obradovic, Z. (2001) · Nature Biotechnology · doi:10.1038/nbt0901-805 · Cited by 581
Conversion of α-lactalbumin to a protein inducing apoptosis.
Svensson, M., Håkansson, A., Mossberg, A.-K., Linse, S., & Svanborg, C. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.8.4221 · Cited by 355
Cited by
Flexible nets: The roles of intrinsic disorder in protein interaction networks
Dunker, A. K., Cortese, M. S., Romero, P., Iakoucheva, L. M., & Uversky, V. N. (2005) · The FEBS Journal · doi:10.1111/j.1742-4658.2005.04948.x · Cited by 1,122
Correction of the F508del-CFTR protein processing defect in vitro by the investigational drug VX-809
Van Goor, F., Hadida, S., Grootenhuis, P. D. J., Burton, B., Stack, J. H., Straley, K. S., Decker, C. J., Miller, M., McCartney, J., Olson, E. R., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105787108 · Cited by 1,088
Showing your ID: intrinsic disorder as an ID for recognition, regulation and cell signaling
Uversky, V. N., Oldfield, C. J., & Dunker, A. K. (2005) · Journal of Molecular Recognition · doi:10.1002/jmr.747 · Cited by 847
Intrinsic Disorder and Functional Proteomics
Radivojac, P., Iakoucheva, L. M., Oldfield, C. J., Obradovic, Z., Uversky, V. N., & Dunker, A. K. (2007) · Biophysical Journal · doi:10.1529/biophysj.106.094045 · Cited by 706
Intrinsically Disordered Proteins and Their “Mysterious” (Meta)Physics
Uversky, V. N. (2019) · Frontiers in Physics · doi:10.3389/fphy.2019.00010 · Cited by 532
Metadata
- Authors
- Fontana, A., De Laureto, P. P., Spolaore, B., Frare, E., Picotti, P., & Zambonin, M.
- Venue
- Acta Biochimica Polonica
- Publisher
- Frontiers Media SA
- Published
- 2004-06-30
- Volume
- 51
- Issue
- 2
- Pages
- 299-321
- ISSN
- 0001-527X (ISSN-L)
- 1734-154X
- OpenAlex
- W2013270869
- Cited by
- 466
- References
- 4
- FWCI
- 5.25
- Type
- journal article
- Language
- en
- Open access
- gold
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: Probing protein structure by limited proteolysis. https://app.cochat.ai/papers/10.18388/abp.2004_3573
- The paper
- Fontana, A., De Laureto, P. P., Spolaore, B., Frare, E., Picotti, P., & Zambonin, M. (2004). Probing protein structure by limited proteolysis. Acta Biochimica Polonica. https://doi.org/10.18388/abp.2004_3573
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.