ArticleAutomated experimentation2010
Construction and analysis of protein-protein interaction networks.
Article in Automated experimentation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled 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.
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
65 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genome-wide identification of potential biomarkers in multiple myeloma using meta-analysis of mRNA and miRNA expression data.Scientific reports · 2021Pooled it
- Transcriptomic analysis delineates potential signature genes and miRNAs associated with the pathogenesis of asthma.Scientific reports · 2020Pooled it
- A proteome-driven strategy to discover novel therapeutic targets in Orientia tsutsugamushi.Antonie van Leeuwenhoek · 2026Article
- Advances in AI-based diagnosis of Alzheimer's disease using MRI: a comprehensive survey.Frontiers in medicine · 2026Review
- Advancing Drug Repurposing for Rheumatoid Arthritis: Integrating Protein-Protein Interaction, Molecular Docking, and Dynamics Simulations for Targeted Therapeutic Approaches.Current issues in molecular biology · 2025Article
- Integrated single-cell multi-omics profiling reveals a senescence-associated hematopoietic landscape and regulatory network in aging bone marrow.Biogerontology · 2025Article
- In Silico Network Pharmacology, Molecular Docking, and Molecular Dynamics Analysis of Rosemary-Derived Compounds as Potential HSP90 Inhibitors for Cancer Therapy.Current issues in molecular biology · 2025Article
- Particulate Matter 2.5 Induces FGFR1-mediated Integrin Switch to Promote Non-small Cell Lung Cancer Metastasis.Cancer genomics & proteomics · 2025Article
- RNA-Seq Insight into the Impact and Mechanisms of Methyl Donor and Glycine Betaine Osmoprotectant on Polyketide Secondary Metabolism inJournal of fungi (Basel, Switzerland) · 2025Article
- A statistical mechanics investigation of unfolded protein response across organisms.Scientific reports · 2024Article
- Computational approach for decoding malaria drug targets from single-cell transcriptomics and finding potential drug molecule.Scientific reports · 2024Article
- Uncovering anti-inflammatory potential ofNarra J · 2024Article
- Gene expression profiling and the isocitrate dehydrogenase mutational landscape of temozolomide‑resistant glioblastoma.Oncology letters · 2024Article
- In Silico Analysis of Protein-Protein Interactions of Putative Endoplasmic Reticulum Metallopeptidase 1 inCurrent issues in molecular biology · 2024Article
- GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs.BMC genomics · 2024Article
- Anti-Cancer Mechanisms of Diarylpentanoid MS17 (1,5-Bis(2-hydroxyphenyl)-1,4-pentadiene-3-one) in Human Colon Cancer Cells: A Proteomics Approach.International journal of molecular sciences · 2024Article
- Transcriptomics and metabolomics analyses provide insights into resistance genes of tree ferns.Frontiers in genetics · 2024Article
- DL-PPI: a method on prediction of sequenced protein-protein interaction based on deep learning.BMC bioinformatics · 2023Article
- Genome analysis of clinical genotypeThe veterinary quarterly · 2023Article
- Drug discovery by targeting the protein-protein interactions involved in autophagy.Acta pharmaceutica Sinica. B · 2023Review
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interactions form the basis for a vast majority of cellular events, including signal transduction and transcriptional regulation. It is now understood that the study of interactions between cellular macromolecules is fundamental to the understanding of biological systems. Interactions between proteins have been studied through a number of high-throughput experiments and have also been predicted through an array of computational methods that leverage the vast amount of sequence data generated in the last decade. In this review, I discuss some of the important computational methods for the prediction of functional linkages between proteins. I then give a brief overview of some of the databases and tools that are useful for a study of protein-protein interactions. I also present an introduction to network theory, followed by a discussion of the parameters commonly used in analysing networks, important network topologies, as well as methods to identify important network components, based on perturbations.
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.