Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 609

The DOI matches its Crossref record.

Characterization of the FKBP·Rapamycin·FRB Ternary Complex

Banaszynski, Laura A., Liu, Corey W., Wandless, Thomas J.·2005·Journal of the American Chemical Society

Abstract

Rapamycin is an important immunosuppressant, a possible anticancer therapeutic, and a widely used research tool. Essential to its various functions is its ability to bind simultaneously to two different proteins, FKBP and mTOR. Despite its widespread use, a thorough analysis of the interactions between FKBP, rapamycin, and the rapamycin-binding domain of mTOR, FRB, is lacking. To probe the affinities involved in the formation of the FKBP.rapamycin.FRB complex, we used fluorescence polarization, surface plasmon resonance, and NMR spectroscopy. Analysis of the data shows that rapamycin binds to FRB with moderate affinity (K(d) = 26 +/- 0.8 microM). The FKBP12.rapamycin complex, however, binds to FRB 2000-fold more tightly (K(d) = 12 +/- 0.8 nM) than rapamycin alone. No interaction between FKBP and FRB was detected in the absence of rapamycin. These studies suggest that rapamycin's ability to bind to FRB, and by extension to mTOR, in the absence of FKBP is of little consequence under physiological conditions. Furthermore, protein-protein interactions at the FKBP12-FRB interface play a role in the stability of the ternary complex.

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/ja043277y

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

See all 609

Metadata

Authors
Banaszynski, L. A., Liu, C. W., & Wandless, T. J.
Venue
Journal of the American Chemical Society
Published
2005-03-09
Volume
127
Issue
13
Pages
4715-4721
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2150028503
Cited by
609
References
0
FWCI
3.80
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: Characterization of the FKBP·Rapamycin·FRB Ternary Complex. https://app.cochat.ai/papers/10.1021/ja043277y
The paper
Banaszynski, L. A., Liu, C. W., & Wandless, T. J. (2005). Characterization of the FKBP·Rapamycin·FRB Ternary Complex. Journal of the American Chemical Society. https://doi.org/10.1021/ja043277y

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.