Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 429

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Evolving protein interaction networks through gene duplication

Open access
Pastor-Satorras, Romualdo, Smith, Eric, Solé, Ricard V.·2003·Journal of Theoretical Biology

Abstract

The topology of the proteome map revealed by recent large-scale hybridization methods has shown that the distribution of protein-protein interactions is highly heterogeneous, with many proteins having few edges while a few of them are heavily connected. This particular topology is shared by other cellular networks, such as metabolic pathways, and it has been suggested to be responsible for the high mutational homeostasis displayed by the genome of some organisms. In this paper we explore a recent model of proteome evolution that has been shown to reproduce many of the features displayed by its real counterparts. The model is based on gene duplication plus re-wiring of the newly created genes. The statistical features displayed by the proteome of well-known organisms are reproduced and suggest that the overall topology of the protein maps naturally emerges from the two leading mechanisms considered by the model.

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 · 10.1016/s0022-5193(03)00028-6

Cites

60 of 60 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 60 references

Cited by

See all 429

Metadata

Authors
Pastor-Satorras, R., Smith, E., & Solé, R. V.
Venue
Journal of Theoretical Biology
Publisher
Elsevier BV
Published
2003-05
Volume
222
Issue
2
Pages
199-210
ISSN
0022-5193 (ISSN-L)
OpenAlex
W2169526870
Cited by
429
References
60
FWCI
7.61
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Evolving protein interaction networks through gene duplication. https://app.cochat.ai/papers/10.1016/s0022-5193(03)00028-6
The paper
Pastor-Satorras, R., Smith, E., & Solé, R. V. (2003). Evolving protein interaction networks through gene duplication. Journal of Theoretical Biology. https://doi.org/10.1016/s0022-5193(03)00028-6

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.