Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 666

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Molecular Similarity in Medicinal Chemistry: Miniperspective

Maggiora, Gerald, Vogt, Martin, Stumpfe, Dagmar, Bajorath, Jürgen·2014·Journal of Medicinal Chemistry

Abstract

Similarity is a subjective and multifaceted concept, regardless of whether compounds or any other objects are considered. Despite its intrinsically subjective nature, attempts to quantify the similarity of compounds have a long history in chemical informatics and drug discovery. Many computational methods employ similarity measures to identify new compounds for pharmaceutical research. However, chemoinformaticians and medicinal chemists typically perceive similarity in different ways. Similarity methods and numerical readouts of similarity calculations are probably among the most misunderstood computational approaches in medicinal chemistry. Herein, we evaluate different similarity concepts, highlight key aspects of molecular similarity analysis, and address some potential misunderstandings. In addition, a number of practical aspects concerning similarity calculations are discussed.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/jm401411z

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 4 references

Cited by

See all 666

Metadata

Authors
Maggiora, G., Vogt, M., Stumpfe, D., & Bajorath, J.
Venue
Journal of Medicinal Chemistry
Published
2013-11-11
Volume
57
Issue
8
Pages
3186-3204
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2412446857
Cited by
666
References
4
FWCI
37.18
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: Molecular Similarity in Medicinal Chemistry: Miniperspective. https://app.cochat.ai/papers/10.1021/jm401411z
The paper
Maggiora, G., Vogt, M., Stumpfe, D., & Bajorath, J. (2014). Molecular Similarity in Medicinal Chemistry: Miniperspective. Journal of Medicinal Chemistry. https://doi.org/10.1021/jm401411z

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.