The DOI matches its Crossref record.
Homology modeling, model and software evaluation: three related resources.
Open accessAbstract
MOTIVATION: Homology modeling is rapidly becoming the method of choice for obtaining three-dimensional coordinates for proteins because genome projects produce sequences at a much higher rate than NMR and X-ray laboratories can solve the three-dimensional structures. The quality of protein models will not be immediately clear to novices and support with the evaluation seems to be needed. Expert users are sometimes interested in evaluating the quality of modeling programs rather than the quality of the models themselves. RESULTS: Three servers have been made available to the scientific community: a homology modeling server, a model quality evaluation server and a server that evaluates models built of proteins for which the structure is already known, thereby implicitly evaluating the quality of the modeling program. AVAILABILITY: The modeling-related servers and several structure analysis servers are freely available at http://swift.embl-heidelberg.de/servers/ CONTACT: gert.vriend@embl-heidelberg.de
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
Inhibitory effect of mTOR activator MHY1485 on autophagy: suppression of lysosomal fusion
Choi, Y. J., Park, Y. J., Park, J. Y., Jeong, H. O., Kim, D. H., Ha, Y. M., Kim, J. M., Song, Y. M., Heo, H.-S., Yu, B. P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043418 · Cited by 192
The Basic and Clinical Pharmacology of Nonpeptide Vasopressin Receptor Antagonists
Thibonnier, M., Coles, P., Thibonnier, A., & Shoham, M. (2001) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.41.1.175 · Cited by 146
Thibonnier, M., Coles, P., Conarty, D. M., Plesnicher, C. L., & Shoham, M. (2000) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/s0022-3565(24)39056-1 · Cited by 35
Metadata
- Authors
- Rodriguez, R., Chinea, G., Lopez, N., Pons, T., & Vriend, G.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-01-01
- Volume
- 14
- Issue
- 6
- Pages
- 523-528
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2148131811
- Cited by
- 345
- References
- 0
- FWCI
- 2.48
- 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: Homology modeling, model and software evaluation: three related resources. https://app.cochat.ai/papers/10.1093/bioinformatics/14.6.523
- The paper
- Rodriguez, R., Chinea, G., Lopez, N., Pons, T., & Vriend, G. (1998). Homology modeling, model and software evaluation: three related resources. Bioinformatics. https://doi.org/10.1093/bioinformatics/14.6.523
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.
