Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 367

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

IC50-to-Ki: a web-based tool for converting IC50 to Ki values for inhibitors of enzyme activity and ligand binding

Open access
Cer, R. Z., Mudunuri, U., Stephens, R., Lebeda, F. J.·2009·Nucleic Acids Research

Abstract

A new web-server tool estimates K(i) values from experimentally determined IC(50) values for inhibitors of enzymes and of binding reactions between macromolecules (e.g. proteins, polynucleic acids) and ligands. This converter was developed to enable end users to help gauge the quality of the underlying assumptions used in these calculations which depend on the type of mechanism of inhibitor action and the concentrations of the interacting molecular species. Additional calculations are performed for nonclassical, tightly bound inhibitors of enzyme-substrate or of macromolecule-ligand systems in which free, rather than total concentrations of the reacting species are required. Required user-defined input values include the total enzyme (or another target molecule) and substrate (or ligand) concentrations, the K(m) of the enzyme-substrate (or the K(d) of the target-ligand) reaction, and the IC(50) value. Assumptions and caveats for these calculations are discussed along with examples taken from the literature. The host database for this converter contains kinetic constants and other data for inhibitors of the proteolytic clostridial neurotoxins (http://botdb.abcc.ncifcrf.gov/toxin/kiConverter.jsp).

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 · 10.1093/nar/gkp253

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

Show all 1 references

Research works printed but not linked: 17

  1. Munson, 1988, Journal of receptor research, 8, 533, 10.3109/10799898809049010 · DOI
  2. Brandt, 1987, Biochemical medicine and metabolic biology, 37, 344, 10.1016/0885-4505(87)90046-6 · DOI
  3. Lazareno, 1993, British journal of pharmacology, 109, 1110, 10.1111/j.1476-5381.1993.tb13737.x · DOI
  4. Henderson, 1972, The Biochemical journal, 127, 321, 10.1042/bj1270321 · DOI · Paper page
  5. 1995, Bioorganic & Medicinal Chemistry Letters, 5, 1947, 10.1016/0960-894X(95)00330-V · DOI
  6. 2002, Journal of pharmacological and toxicological methods, 46, 61
  7. Xinyi Huang, 2003, Journal of Biomolecular Screening, 8, 34, 10.1177/1087057102239666 · DOI
  8. Nikolovska-Coleska, 2004, Analytical biochemistry, 332, 261, 10.1016/j.ab.2004.05.055 · DOI · Paper page
  9. Post, 2008, Journal of pharmacokinetics and pharmacodynamics, 35, 251, 10.1007/s10928-008-9087-3 · doi:10.1007/s10928-008-9087-3
  10. Craig, 1993, Trends in Pharmacological Sciences (Regular ed.), 14, 89, 10.1016/0165-6147(93)90070-Z · DOI
  11. Mudunuri, 2006, Nucleic Acids Research, 34, W748, 10.1093/nar/gkl194 · doi:10.1093/nar/gkl194
  12. 2007, Infection and Immunity, 75, 3212, 10.1128/IAI.00105-07 · DOI
  13. Barthelmes, 2007, Nucleic Acids Research, 35, D511, 10.1093/nar/gkl972 · DOI
  14. 2009, Nucleic Acids Research, 37, D365, 10.1093/nar/gkn790 · DOI
  15. Fowler, 1983, Journal of neurochemistry, 40, 510, 10.1111/j.1471-4159.1983.tb11312.x · doi:10.1111/j.1471-4159.1983.tb11312.x
  16. Burnett, 2007, Journal of medicinal chemistry, 50, 2127, 10.1021/jm061446e · doi:10.1021/jm061446e
  17. 2006, Drug Metabolism and Disposition, 34, 534, 10.1124/dmd.105.007625 · DOI

Cited by

See all 367

Metadata

Authors
Cer, R. Z., Mudunuri, U., Stephens, R., & Lebeda, F. J.
Venue
Nucleic Acids Research
Published
2009-04-24
Volume
37
Issue
Web Server
Pages
W441-W445
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2138274020
Cited by
367
References
1
FWCI
7.31
Type
journal article
Language
en
Open access
gold

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: IC50-to-Ki: a web-based tool for converting IC50 to Ki values for inhibitors of enzyme activity and ligand binding. https://app.cochat.ai/papers/10.1093/nar/gkp253
The paper
Cer, R. Z., Mudunuri, U., Stephens, R., & Lebeda, F. J. (2009). IC50-to-Ki: a web-based tool for converting IC50 to Ki values for inhibitors of enzyme activity and ligand binding. Nucleic Acids Research. https://doi.org/10.1093/nar/gkp253

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.