The DOI matches its Crossref record.
Feature trees: A new molecular similarity measure based on tree matching
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
Convolutional embedding of attributed molecular graphs for physical property prediction
Coley, C. W., Barzilay, R., Green, W. H., Jaakkola, T. S., & Jensen, K. F. (2017) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.6b00601 · Cited by 470
Why do we need so many chemical similarity search methods?
Sheridan, R. (2002) · Drug Discovery Today · doi:10.1016/s1359-6446(02)02411-x · Cited by 412
Bender, A., Mussa, H. Y., Glen, R. C., & Reiling, S. (2004) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci0498719 · Cited by 322
DOGS: Reaction-Driven de novo Design of Bioactive Compounds
Hartenfeller, M., Zettl, H., Walter, M., Rupp, M., Reisen, F., Proschak, E., Weggen, S., Stark, H., & Schneider, G. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002380 · Cited by 251
“Similar to the FeatureTrees [21] approach, the reduced graph representation employed by DOGS reduces cyclic substructures as”
Method
Metadata
- Authors
- Rarey, M., & Dixon, J. S.
- Venue
- Journal of Computer-Aided Molecular Design
- Published
- 1998-09
- Volume
- 12
- Issue
- 5
- Pages
- 471-490
- ISSN
- 0920-654X (ISSN-L)
- 1573-4951
- OpenAlex
- W1595350250
- Cited by
- 328
- References
- 0
- FWCI
- 8.54
- 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: Feature trees: A new molecular similarity measure based on tree matching. https://app.cochat.ai/papers/10.1023/a:1008068904628
- The paper
- Rarey, M., & Dixon, J. S. (1998). Feature trees: A new molecular similarity measure based on tree matching. Journal of Computer-Aided Molecular Design. https://doi.org/10.1023/a%3A1008068904628
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.
