ReviewInternational journal of proteomics2014
Protein-protein interaction detection: methods and analysis.
Review in International journal of proteomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 309 papers.
What it found
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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
309 citing papers in PubMed.
- Structural modeling supports an interaction between thebioRxiv : the preprint server for biology · 2026Article
- Linear-time prediction of proteome-scale microbial protein interactions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A Review and Experimental Analysis of Supervised Learning Systems and Methods for Protein-Protein Interaction Detection.International journal of molecular sciences · 2026Review
- Erucin Targets Oncogenic Signaling Pathways in Triple-Negative Breast Cancer: An Integrated Network Pharmacology and In Vitro Study.Life (Basel, Switzerland) · 2026Article
- Exploring neural networks to uncover information-richer features for protein interaction prediction.European biophysics journal : EBJ · 2026Article
- IDBSpred: An intrinsically disordered binding site predictor using machine learning and protein language model.bioRxiv : the preprint server for biology · 2026Article
- Machine Learning Methods for Protein-Protein Interaction Prediction Based on Noncovalent Interactions.ACS omega · 2026Article
- Review
- CellAwareGNN: Single-Cell Enhanced Knowledge Graph Foundation Model for Drug Indication Prediction.bioRxiv : the preprint server for biology · 2026Article
- A practical guide to sample preparation for immunoprecipitation coupled with mass spectrometry analysis ofmicroPublication biology · 2026Article
- SPPIPred: Stacking-based ensemble learning model for identification of protein-protein interaction.PloS one · 2026Article
- Quantifying cytoskeletal protein interactions with far Western blotting.Frontiers in molecular biosciences · 2026Article
- ProtAttn-QuadNet: An attention-based deep learning framework for protein-protein interaction prediction using ProtBERT embeddings.PloS one · 2026Article
- Synthetic messenger RNA vaccines and transcriptomic dysregulation: Evidence from new-onset adverse events and cancers post-vaccination.World journal of experimental medicine · 2025Article
- Towards a phylogenetically informed approach to solving protein-protein interactions.Biochemical Society transactions · 2025Review
- Tree-based ensemble learning models for protein-protein interactions detection: a review and experimental evaluation.BioData mining · 2025Review
- Unraveling the genetic architecture of anti-nutritional factors in soybean (Glycine max.) for nutritional enhancement.Scientific reports · 2025Article
- Engineering a new tripartite split-ccGFP system from Corynactis californica for detecting protein-protein interactions.Scientific reports · 2025Article
- Component puzzle protein-protein interaction prediction.Briefings in bioinformatics · 2025Article
- Predicting protein-protein interactions in the human proteome.Science (New York, N.Y.) · 2025Article
249 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interaction plays key role in predicting the protein function of target protein and drug ability of molecules. The majority of genes and proteins realize resulting phenotype functions as a set of interactions. The in vitro and in vivo methods like affinity purification, Y2H (yeast 2 hybrid), TAP (tandem affinity purification), and so forth have their own limitations like cost, time, and so forth, and the resultant data sets are noisy and have more false positives to annotate the function of drug molecules. Thus, in silico methods which include sequence-based approaches, structure-based approaches, chromosome proximity, gene fusion, in silico 2 hybrid, phylogenetic tree, phylogenetic profile, and gene expression-based approaches were developed. Elucidation of protein interaction networks also contributes greatly to the analysis of signal transduction pathways. Recent developments have also led to the construction of networks having all the protein-protein interactions using computational methods for signaling pathways and protein complex identification in specific diseases.
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.