The DOI matches its Crossref record.
A normalized root‐mean‐spuare distance for comparing protein three‐dimensional structures
Open accessAbstract
The degree of similarity of two protein three‐dimensional structures is usually measured with the root‐mean‐square distance between equivalent atom pairs. Such a similarity measure depends on the dimension of the proteins, that is, on the number of equivalent atom pairs. The present communication presents a simple procedure to make the root‐mean‐square distances between pairs of three‐dimensional structures independent of their dimensions. This normalization may be useful in evolutionary and fold classification studies as well as in simple comparisons between different structural models.
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
Cited by
Scoring function for automated assessment of protein structure template quality
Zhang, Y., & Skolnick, J. (2004) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20264 · Cited by 2,392
Protein–protein interaction and quaternary structure
Janin, J., Bahadur, R. P., & Chakrabarti, P. (2008) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583508004708 · Cited by 398
Ghahremanian, S., Rashidi, M. M., Raeisi, K., & Toghraie, D. (2022) · Journal of Molecular Liquids · doi:10.1016/j.molliq.2022.118901 · Cited by 299
(2024) · doi:10.1093/bib/bbae324 · Cited by 19
Turzo, S. M. B. A., Seffernick, J. T., Lyskov, S., & Lindert, S. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad308 · Cited by 13
Metadata
- Authors
- Carugo, O., & Pongor, S.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 2001-07
- Volume
- 10
- Issue
- 7
- Pages
- 1470-1473
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W2063581254
- Cited by
- 412
- References
- 0
- FWCI
- 1.30
- 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: A normalized root‐mean‐spuare distance for comparing protein three‐dimensional structures. https://app.cochat.ai/papers/10.1110/ps.690101
- The paper
- Carugo, O., & Pongor, S. (2001). A normalized root‐mean‐spuare distance for comparing protein three‐dimensional structures. Protein Science. https://doi.org/10.1110/ps.690101
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.