Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 269

The DOI matches its Crossref record.

Oxindole-Based Inhibitors of Cyclin-Dependent Kinase 2 (CDK2): Design, Synthesis, Enzymatic Activities, and X-ray Crystallographic Analysis

Open access
Bramson, H. Neal, Corona, John, Davis, Stephen T., Dickerson, Scott H., Edelstein, Mark, Frye, Stephen V., Gampe, Robert T., Harris, Phil A., Hassell, Anne, Holmes, William D., Hunter, Robert N., Lackey, Karen E., Lovejoy, Brett, Luzzio, Michael J., Montana, Val, Rocque, Warren J., Rusnak, David, Shewchuk, Lisa, Veal, James M., Walker, Duncan H., Kuyper, Lee F.·2001·Journal of Medicinal Chemistry

Abstract

Two closely related classes of oxindole-based compounds, 1H-indole-2,3-dione 3-phenylhydrazones and 3-(anilinomethylene)-1,3-dihydro-2H-indol-2-ones, were shown to potently inhibit cyclin-dependent kinase 2 (CDK2). The initial lead compound was prepared as a homologue of the 3-benzylidene-1,3-dihydro-2H-indol-2-one class of kinase inhibitor. Crystallographic analysis of the lead compound bound to CDK2 provided the basis for analogue design. A semiautomated method of ligand docking was used to select compounds for synthesis, and a number of compounds with low nanomolar inhibitory activity versus CDK2 were identified. Enzyme binding determinants for several analogues were evaluated by X-ray crystallography. Compounds in this series inhibited CDK2 with a potency approximately 10-fold greater than that for CDK1. Members of this class of inhibitor cause an arrest of the cell cycle and have shown potential utility in the prevention of chemotherapy-induced alopecia.

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/jm010117d

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.

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

Cited by

Metadata

Authors
Bramson, H. N., Corona, J., Davis, S. T., Dickerson, S. H., Edelstein, M., Frye, S. V., Gampe, R. T., Harris, P. A., Hassell, A., Holmes, W. D., Hunter, R. N., Lackey, K. E., Lovejoy, B., Luzzio, M. J., Montana, V., Rocque, W. J., Rusnak, D., Shewchuk, L., Veal, J. M., Walker, D. H., & Kuyper, L. F.
Venue
Journal of Medicinal Chemistry
Published
2001-11-02
Volume
44
Issue
25
Pages
4339-4358
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2117263757
Cited by
269
References
0
FWCI
10.16
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.