ReviewMolecular biotechnology2008
Computational prediction of protein-protein interactions.
Review in Molecular biotechnology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 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.
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Who cites it
96 citing papers in PubMed.
- A robust framework for protein-protein interaction prediction with multi-objective ensemble learning and embedding-based representations.Scientific reports · 2026Article
- An In Vivo C57BL/6 Mouse Study Demonstrating Fine-Tuning of Serum and Brain-Derived Exosomes Reveal Therapeutic Potential of Phytochemical Ferulic Acid Against Alzheimer's Disease.Molecular neurobiology · 2025Article
- Enhancing cross-domain protein and peptide interaction with retrained deep learning models.Briefings in bioinformatics · 2025Article
- Towards a more accurate and reliable evaluation of machine learning protein-protein interaction prediction model performance in the presence of unavoidable dataset biases.Journal of integrative bioinformatics · 2025Article
- Article
- Electronic Interactions Between the Receptor-Binding Domain of Omicron Variants and Angiotensin-Converting Enzyme 2: A Novel Amino Acid-Amino Acid Bond Pair Concept.Molecules (Basel, Switzerland) · 2025Article
- Compact Assessment of Molecular Surface Complementarities Enhances Neural Network-Aided Prediction of Key Binding Residues.Journal of chemical information and modeling · 2025Article
- Statistical analysis of sequential motifs at biologically relevant protein-protein interfaces.Computational and structural biotechnology journal · 2024Article
- Understanding AβMetabolic brain disease · 2024Article
- A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions.Nature communications · 2024Article
- In Silico Analysis of Protein-Protein Interactions of Putative Endoplasmic Reticulum Metallopeptidase 1 inCurrent issues in molecular biology · 2024Article
- Computational Approaches to Predict Protein-Protein Interactions in Crowded Cellular Environments.Chemical reviews · 2024Review
- Navigating the human-monkeypox virus interactome: HuPoxNET atlas reveals functional insights.Frontiers in microbiology · 2024Article
- Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024Review
- Repurposing approved non-oncology drugs for cancer therapy: a comprehensive review of mechanisms, efficacy, and clinical prospects.European journal of medical research · 2023Review
- Network Analytics Enabled by Generating a Pool of Network Variants from Noisy Data.Entropy (Basel, Switzerland) · 2023Article
- Electrostatic complementarity at the interface drives transient protein-protein interactions.Scientific reports · 2023Article
- Graph-BERT and language model-based framework for protein-protein interaction identification.Scientific reports · 2023Article
- Hierarchical graph learning for protein-protein interaction.Nature communications · 2023Article
- The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest.Nucleic acids research · 2023Article
36 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
Recently a number of computational approaches have been developed for the prediction of protein-protein interactions. Complete genome sequencing projects have provided the vast amount of information needed for these analyses. These methods utilize the structural, genomic, and biological context of proteins and genes in complete genomes to predict protein interaction networks and functional linkages between proteins. Given that experimental techniques remain expensive, time-consuming, and labor-intensive, these methods represent an important advance in proteomics. Some of these approaches utilize sequence data alone to predict interactions, while others combine multiple computational and experimental datasets to accurately build protein interaction maps for complete genomes. These methods represent a complementary approach to current high-throughput projects whose aim is to delineate protein interaction maps in complete genomes. We will describe a number of computational protocols for protein interaction prediction based on the structural, genomic, and biological context of proteins in complete genomes, and detail methods for protein interaction network visualization and analysis.
Indexed as
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18095187What 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.