The DOI matches its Crossref record.
Modelling the polypeptide backbone with ‘spare parts’ from known protein structures
Abstract
An automatic procedure for building a protein polyalanine backbone from C alpha positions and 'spare parts' retrieved from a data base of 66 high-resolution protein structures is described. Protein backbones are constructed from overlapping fragments of variable length, which allows the backbone of regular secondary structure elements to be built in one block. The procedure is shown to yield backbones which compare very favourably with those from highly refined X-ray structures (r.m.s. deviation between generated and crystal structures less than 1A). The method is furthermore quite insensitive to experimental errors in C alpha positions as well as to the size of the data base, and is seen to yield valuable insight into the relationships between sequence and 3-D structure: one example on triose phosphate isomerase, a beta-barrel protein, shows that beta alpha loops can be considered as structurally more uncommon than alpha beta loops. The 'spare parts' approach is also found to be useful for general-purpose modelling of local structural changes produced by insertion or deletion of residues. It should, however, be used with caution. Crude selection criteria based solely on fragment length and geometric fit to the loop base regions yield realistic backbones in about two-thirds of the test cases (r.m.s. deviations from refined crystal structure approximately 1A). In the remaining cases, sequence information, in particular the presence of glycine residues which tend to adopt more unusual backbone conformations, must be considered to obtain comparable results.
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
Comparative Protein Structure Modeling of Genes and Genomes
Martí-Renom, M. A., Stuart, A. C., Fiser, A., Sánchez, R., Melo, F., & Šali, A. (2000) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.29.1.291 · Cited by 3,169
Modeling of loops in protein structures
Fiser, A., Do, R. K. G., & Šali, A. (2000) · Protein Science · doi:10.1110/ps.9.9.1753 · Cited by 2,116
Comparative protein structure modeling using MODELLER
Webb, B., & Sali, A. (2016) · Current Protocols in Protein Science · doi:10.1002/cpps.20 · Cited by 730
“The basis of modeling by coordinate reconstruction is the finding that most hexapeptide segments of protein structure can be clustered into only 100 structurally different classes (Jones and Thirup, 1986; Claessens et al., 1989; Unger et al., 1989; Levitt, 1992; Bystroff and Baker, 1998).”
Background
Metadata
- Authors
- Claessens, M., van Cutsem, E., Lasters, I., & Wodak, S.
- Venue
- "Protein Engineering, Design and Selection"
- Publisher
- Oxford University Press (OUP)
- Published
- 1989
- Volume
- 2
- Issue
- 5
- Pages
- 335-345
- ISSN
- 0269-2139 (ISSN-L)
- 1741-0126
- 1741-0134
- OpenAlex
- W2062957518
- Cited by
- 180
- References
- 0
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- closed
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: Modelling the polypeptide backbone with ‘spare parts’ from known protein structures. https://app.cochat.ai/papers/10.1093/protein/2.5.335
- The paper
- Claessens, M., van Cutsem, E., Lasters, I., & Wodak, S. (1989). Modelling the polypeptide backbone with ‘spare parts’ from known protein structures. "Protein Engineering, Design and Selection". https://doi.org/10.1093/protein/2.5.335
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.