ReviewMolecular systems biology2007
Network-based prediction of protein function.
Review in Molecular systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 444 papers.
What it found
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Who cites it
444 citing papers in PubMed.
- TOMOC: a topology-driven multi-objective evolutionary framework for robust overlapping protein complex detection in noisy PPI networks.BMC bioinformatics · 2026Article
- Predicting functions of uncharacterized gene products from microbial communities.Nature biotechnology · 2026Article
- Evaluating network-based algorithms for protein function prediction using plant protein-protein interaction networks.BMC plant biology · 2026Article
- Protein-protein interactions are a major source of epistasis in genetic interaction networks.Nature communications · 2026Article
- ncFN: a comprehensive non-coding RNA function annotation framework based on a global and heterogeneous biomolecular network.Non-coding RNA research · 2026Article
- Integrative multi-omic analyses identify major axes of heterogeneity in chronic obstructive pulmonary disease and uncover their molecular contributors.medRxiv : the preprint server for health sciences · 2026Article
- Identification of antimicrobial resistance genes in Escherichia coli through network diffusion.The Journal of antimicrobial chemotherapy · 2026Article
- Interactomics: Dissecting Protein Networks in Living Systems.Advances in experimental medicine and biology · 2026Review
- Novel Pyrazoline Derivatives as Therapeutic Candidate for Alzheimer's Disease: An Integrated Network Pharmacology and 3D-QSAR Modelling.Bioinformatics and biology insights · 2026Article
- WatCon: A Python Tool for Analysis of Conserved Water Networks Across Protein Families.JACS Au · 2025Article
- Topology-aware functional similarity: integrating extended neighborhoods via exponential attenuation.BMC bioinformatics · 2025Article
- Computational function prediction of bacteria and phage proteins.Microbiology and molecular biology reviews : MMBR · 2025Review
- ERC2.0 evolutionary rate covariation update improves inference of functional interactions across large phylogenies.Genome research · 2025Article
- Decoding the Functional Interactome of Non-Model Organisms with PHILHARMONIC.bioRxiv : the preprint server for biology · 2025Article
- Multistage attention-based extraction and fusion of protein sequence and structural features for protein function prediction.Bioinformatics (Oxford, England) · 2025Article
- A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology.Scientific reports · 2025Article
- Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems biology approach.BMC plant biology · 2025Article
- Deciphering the dark cancer phosphoproteome using machine-learned co-regulation of phosphosites.Nature communications · 2025Article
- ERC 2.0 - evolutionary rate covariation update improves inference of functional interactions across large phylogenies.bioRxiv : the preprint server for biology · 2025Article
- Mapping the functional network of human cancer through machine learning and pan-cancer proteogenomics.Nature cancer · 2025Article
384 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional annotation of proteins is a fundamental problem in the post-genomic era. The recent availability of protein interaction networks for many model species has spurred on the development of computational methods for interpreting such data in order to elucidate protein function. In this review, we describe the current computational approaches for the task, including direct methods, which propagate functional information through the network, and module-assisted methods, which infer functional modules within the network and use those for the annotation task. Although a broad variety of interesting approaches has been developed, further progress in the field will depend on systematic evaluation of the methods and their dissemination in the biological community.
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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.