Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 486

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

A Functional Connection Between the Pores of Distantly Related Ion Channels as Revealed by Mutant K + Channels

Heginbotham, Lise, Abramson, Tatiana, MacKinnon, Roderick·1992·Science

Abstract

The overall sequence similarity between the voltage-activated K + channels and cyclic nucleotide-gated ion channels from retinal and olfactory neurons suggests that they arose from a common ancestor. On the basis of sequence comparisons, mutations were introduced into the pore of a voltage-activated K + channel. These mutations confer the essential features of ion conduction in the cyclic nucleotide-gated ion channels; the mutant K + channels display little selectivity among monovalent cations and are blocked by divalent cations. The property of K + selectivity is related to the presence of two amino acids that are absent from the pore-forming region of the cyclic nucleotide-gated channels. These data demonstrate that very small differences in the primary structure of an ion channel can account for extreme functional diversity, and they suggest a possible connection between the pore-forming regions of K + , Ca 2+ , and cyclic nucleotide-gated ion channels.

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 · 10.1126/science.1279807

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

Cited by

See all 486

Metadata

Authors
Heginbotham, L., Abramson, T., & MacKinnon, R.
Venue
Science
Published
1992-11-13
Volume
258
Issue
5085
Pages
1152-1155
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2077873945
Cited by
486
References
1
FWCI
15.78
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: A Functional Connection Between the Pores of Distantly Related Ion Channels as Revealed by Mutant K + Channels. https://app.cochat.ai/papers/10.1126/science.1279807
The paper
Heginbotham, L., Abramson, T., & MacKinnon, R. (1992). A Functional Connection Between the Pores of Distantly Related Ion Channels as Revealed by Mutant K + Channels. Science. https://doi.org/10.1126/science.1279807

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.