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Record W2126498993 · doi:10.1126/science.1203877

Evidence for Network Evolution in an <i>Arabidopsis</i> Interactome Map

2011· article· en· W2126498993 on OpenAlexfundno aff
Matija Dreze, Anne‐Ruxandra Carvunis, Benoît Charloteaux, Mary Galli, Samuel J. Pevzner, Murat Taşan, Yong‐Yeol Ahn, Padmavathi Balumuri, Albert-Ĺaszló Barabási, Vanessa Bautista, Pascal Falter‐Braun, Danielle Byrdsong, Huaming Chen, Jonathan D. Chesnut, Michael E. Cusick, Jeffery L. Dangl, Chris de los Reyes, Amélie Dricot, Melissa Duarte, Joseph R. Ecker, Changyu Fan, Lantian Gai, Fana Gebreab, Gourab Ghoshal, Patrick N. Gilles, Bryan J. Gutierrez, Tong Hao, David E. Hill, Christopher J. Kim, Rosa Cheuk Kim, Claire Lurin, Andrew MacWilliams, Uday Matrubutham, Tijana Milenković, Jyotika Mirchandani, Dario Monachello, Jonathan D. Moore, M. Shahid Mukhtar, Eric Olivares, Suswapna Patnaik, Matthew M. Poulin, Nataša Pržulj, Rosa Quan, Sabrina Rabello, Gopalakrishna Ramaswamy, Patrick Reichert, Edward A. Rietman, Thomas Rolland, Viviana Romero, Frederick P. Roth, Balaji Santhanam, Robert J. Schmitz, Paul Shinn, William Spooner, Joshua C. Stein, Geetha M. Swamilingiah, Stanley Tam, Jean Vandenhaute, Marc Vidal, Selma Waaijers, Doreen Ware, Evan M. Weiner, Stacy Wu, Junshi Yazaki

Bibliographic record

VenueScience · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioinformatics and Genomic Networks
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesNational Human Genome Research InstituteBiotechnology and Biological Sciences Research CouncilCanada Excellence Research Chairs, Government of CanadaFonds De La Recherche Scientifique - FNRSNational Cancer InstituteNational Institutes of HealthNational Science FoundationJames S. McDonnell FoundationU.S. Department of Agriculture
KeywordsInteractomeArabidopsisComputational biologyBiologyComputer scienceGeneGenetics

Abstract

fetched live from OpenAlex

Plants have unique features that evolved in response to their environments and ecosystems. A full account of the complex cellular networks that underlie plant-specific functions is still missing. We describe a proteome-wide binary protein-protein interaction map for the interactome network of the plant Arabidopsis thaliana containing about 6200 highly reliable interactions between about 2700 proteins. A global organization of plant biological processes emerges from community analyses of the resulting network, together with large numbers of novel hypothetical functional links between proteins and pathways. We observe a dynamic rewiring of interactions following gene duplication events, providing evidence for a model of evolution acting upon interactome networks. This and future plant interactome maps should facilitate systems approaches to better understand plant biology and improve crops.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.294
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations918
Published2011
Admission routes1
Has abstractyes

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