Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 499

The DOI matches its Crossref record.

ConSeq: the identification of functionally and structurally important residues in protein sequences

Berezin, Carine, Glaser, Fabian, Rosenberg, Josef, Paz, Inbal, Pupko, Tal, Fariselli, Piero, Casadio, Rita, Ben-Tal, Nir·2004·Bioinformatics

Abstract

Motivation: ConSeq is a web server for the identification of biologically important residues in protein sequences. Functionally important residues that take part, e.g. in ligand binding and protein–protein interactions, are often evolutionarily conserved and are most likely to be solvent-accessible, whereas conserved residues within the protein core most probably have an important structural role in maintaining the protein's fold. Thus, estimated evolutionary rates, as well as relative solvent accessibility predictions, are assigned to each amino acid in the sequence; both are subsequently used to indicate residues that have potential structural or functional importance. Availability: The ConSeq web server is available at http://conseq.bioinfo.tau.ac.il/ Supplementary information: The ConSeq methodology, a description of its performance in a set of five well-documented proteins, a comparison to other methods, and the outcome of its application to a set of 111 proteins of unknown function, are presented at http://conseq.bioinfo.tau.ac.il/ under ‘OVERVIEW’, ‘VALIDATION’, ‘COMPARISON’ and ‘PREDICTIONS’, respectively.

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/bioinformatics/bth070

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 499

Metadata

Authors
Berezin, C., Glaser, F., Rosenberg, J., Paz, I., Pupko, T., Fariselli, P., Casadio, R., & Ben-Tal, N.
Venue
Bioinformatics
Published
2004-02-10
Volume
20
Issue
8
Pages
1322-1324
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2114886480
Cited by
499
References
0
FWCI
5.58
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: ConSeq: the identification of functionally and structurally important residues in protein sequences. https://app.cochat.ai/papers/10.1093/bioinformatics/bth070
The paper
Berezin, C., Glaser, F., Rosenberg, J., Paz, I., Pupko, T., Fariselli, P., Casadio, R., & Ben-Tal, N. (2004). ConSeq: the identification of functionally and structurally important residues in protein sequences. Bioinformatics. https://doi.org/10.1093/bioinformatics/bth070

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.