ArticlePloS one2010
Protein networks reveal detection bias and species consistency when analysed by information-theoretic methods.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- PinSnps: structural and functional analysis of SNPs in the context of protein interaction networks.Bioinformatics (Oxford, England) · 2016Article
- Quantifying noise in mass spectrometry and yeast two-hybrid protein interaction detection experiments.Journal of the Royal Society, Interface · 2015Article
- Bridging topological and functional information in protein interaction networks by short loops profiling.Scientific reports · 2015Article
- Article
- Cancer-driven dynamics of immune cells in a microfluidic environment.Scientific reports · 2014Article
- Modelling the yeast interactome.Scientific reports · 2014Article
- Proteomics: from single molecules to biological pathways.Cardiovascular research · 2013Review
- Predicting the fission yeast protein interaction network.G3 (Bethesda, Md.) · 2012Article
- What you see is not what you get: how sampling affects macroscopic features of biological networks.Interface focus · 2011Article
- Human protein reference database and human proteinpedia as discovery resources for molecular biotechnology.Molecular biotechnology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We apply our recently developed information-theoretic measures for the characterisation and comparison of protein-protein interaction networks. These measures are used to quantify topological network features via macroscopic statistical properties. Network differences are assessed based on these macroscopic properties as opposed to microscopic overlap, homology information or motif occurrences. We present the results of a large-scale analysis of protein-protein interaction networks. Precise null models are used in our analyses, allowing for reliable interpretation of the results. By quantifying the methodological biases of the experimental data, we can define an information threshold above which networks may be deemed to comprise consistent macroscopic topological properties, despite their small microscopic overlaps. Based on this rationale, data from yeast-two-hybrid methods are sufficiently consistent to allow for intra-species comparisons (between different experiments) and inter-species comparisons, while data from affinity-purification mass-spectrometry methods show large differences even within intra-species comparisons.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.