Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 217

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Comparative Molecular Moment Analysis (CoMMA): 3D-QSAR without Molecular Superposition

Open access
Silverman, B. D., Platt, Daniel. E.·1996·Journal of Medicinal Chemistry

Abstract

3d-QSAR procedures utilize descriptors that characterize molecular shape and charge distributions responsible for the steric and electrostatic nonbonding interactions intimately involved in ligand-receptor binding. Comparative molecular moment analysis (CoMMA) utilizes moments of the molecular mass and charge distributions up to and including second order in the development of molecular similarity descriptors. As a consequence, two Cartesian reference frames are then defined with respect to each molecular structure. One frame is the principal inertial axes calculated with respect to the center-of-mass. For neutrally charged molecular species, the other reference frame is the principal quadrupolar axes calculated with respect to the molecular "center-of-dipole." QSAR descriptors include quantities that characterize shape and charge independently as well as quantities that characterize their relationship. 3D-QSAR partial least squares (PLS) cross-validation procedures are utilized to predict the activity of several training sets of molecules previously investigated. This is the first time that molecular electrostatic quadrupolar moments have been utilized in a 3D-QSAR analysis, and it is shown that descriptors involving the quadrupolar moments and related quantities are required for the significant cross-validated predictive r2's obtained. CoMMA requires no superposition step, i.e., no step requiring a comparison between two molecules at any stage of the 3D-QSAR calculation.

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/jm950589q

Cites

1 of 1 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

Cited by

See all 217

Metadata

Authors
Silverman, B. D., & Platt, D. E.
Venue
Journal of Medicinal Chemistry
Published
1996-01-01
Volume
39
Issue
11
Pages
2129-2140
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2076368829
Cited by
217
References
1
FWCI
12.88
Type
journal article
Language
en
Open access
green

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

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.