Evidence map›Paper›PMID 15169868›Full record

ArticleMolecular biology of the cell2004

Integrative analysis of cell cycle control in budding yeast.

Katherine C Chen, Laurence Calzone, Attila Csikasz-Nagy, Frederick R Cross, Bela Novak, John J Tyson

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 243 papers.

0numbers the graph read from it
0cells of the map it votes in
243citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

243 citing papers in PubMed.

  1. Evolution of the Cell-Cycle Clock Models: Biochemical or Transcriptional?Advances in experimental medicine and biology · 2026
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183 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katherine C ChenDepartment of Biology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0406, USA. kchen@vt.edu
Laurence Calzone
Attila Csikasz-Nagy
Frederick R Cross
Bela Novak
John J Tyson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adaptive responses of a living cell to internal and external signals are controlled by networks of proteins whose interactions are so complex that the functional integration of the network cannot be comprehended by intuitive reasoning alone. Mathematical modeling, based on biochemical rate equations, provides a rigorous and reliable tool for unraveling the complexities of molecular regulatory networks. The budding yeast cell cycle is a challenging test case for this approach, because the control system is known in exquisite detail and its function is constrained by the phenotypic properties of >100 genetically engineered strains. We show that a mathematical model built on a consensus picture of this control system is largely successful in explaining the phenotypes of mutants described so far. A few inconsistencies between the model and experiments indicate aspects of the mechanism that require revision. In addition, the model allows one to frame and critique hypotheses about how the division cycle is regulated in wild-type and mutant cells, to predict the phenotypes of new mutant combinations, and to estimate the effective values of biochemical rate constants that are difficult to measure directly in vivo.

Indexed as

Models, TheoreticalCell CycleCell Cycle ProteinsComputer SimulationSaccharomycetalesCell Cycle Proteins

Identifiers

PMID15169868
PMCPMC491841

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.