scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1019729549 |
P356 | DOI | 10.1038/NBT825 |
P2888 | exact match | https://scigraph.springernature.com/pub.10.1038/nbt825 |
P698 | PubMed publication ID | 12740586 |
P5875 | ResearchGate publication ID | 10764888 |
P50 | author | Alessandro Vespignani | Q4716441 |
Amos Maritan | Q59916235 | ||
P2093 | author name string | Alessandro Flammini | |
Alexei Vazquez | |||
P2860 | cites work | Functional organization of the yeast proteome by systematic analysis of protein complexes | Q24292209 |
Optimization by Simulated Annealing | Q25939004 | ||
The Potts model | Q27345501 | ||
A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae | Q27860755 | ||
A comprehensive two-hybrid analysis to explore the yeast protein interactome | Q27861093 | ||
Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry | Q27861116 | ||
Assigning protein functions by comparative genome analysis: Protein phylogenetic profiles | Q29039336 | ||
Lethality and centrality in protein networks | Q29547267 | ||
A network of protein-protein interactions in yeast | Q30004209 | ||
Monitoring gene expression using DNA microarrays | Q33941522 | ||
Robustness against mutations in genetic networks of yeast. | Q52169621 | ||
Protein networks-built by association | Q73256714 | ||
A historical perspective on gene/protein functional assignment | Q73795623 | ||
Promoter analysis of co-regulated genes in the yeast genome | Q77996915 | ||
P433 | issue | 6 | |
P921 | main subject | protein-protein interaction | Q896177 |
protein function prediction | Q7251473 | ||
P304 | page(s) | 697-700 | |
P577 | publication date | 2003-05-12 | |
P1433 | published in | Nature Biotechnology | Q1893837 |
P1476 | title | Global protein function prediction from protein-protein interaction networks | |
P478 | volume | 21 |
Q34220929 | "Guilt by association" is the exception rather than the rule in gene networks |
Q24791344 | A Drosophila protein-interaction map centered on cell-cycle regulators |
Q58121957 | A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks |
Q93172647 | A Survey of Gene Prioritization Tools for Mendelian and Complex Human Diseases |
Q34698488 | A comprehensive Plasmodium falciparum protein interaction map reveals a distinct architecture of a core interactome |
Q33782146 | A computational algorithm for functional clustering of proteome dynamics during development |
Q31036327 | A database and tool, IM Browser, for exploring and integrating emerging gene and protein interaction data for Drosophila |
Q24799712 | A database for G proteins and their interaction with GPCRs |
Q33658615 | A genome-wide gene function prediction resource for Drosophila melanogaster |
Q33234897 | A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images |
Q24614831 | A large-scale evaluation of computational protein function prediction |
Q46643323 | A linear-time algorithm for predicting functional annotations from PPI networks |
Q93156894 | A novel evolutionary model for constructing gene coexpression networks with comprehensive features |
Q33370418 | A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge |
Q33891584 | A protein network-guided screen for cell cycle regulators in Drosophila |
Q24809459 | A scale of functional divergence for yeast duplicated genes revealed from analysis of the protein-protein interaction network |
Q36289612 | A three-way approach for protein function classification |
Q24813007 | AVID: an integrative framework for discovering functional relationships among proteins |
Q28476497 | Accurate protein structure annotation through competitive diffusion of enzymatic functions over a network of local evolutionary similarities |
Q33325748 | Adaptive diffusion kernel learning from biological networks for protein function prediction |
Q34921401 | Algorithmic and analytical methods in network biology |
Q43049884 | All duplicates are not equal: the difference between small-scale and genome duplication |
Q35740510 | An iterative network partition algorithm for accurate identification of dense network modules |
Q64258653 | Analysis of Predicted Host-Parasite Interactomes Reveals Commonalities and Specificities Related to Parasitic Lifestyle and Tissues Tropism |
Q38501868 | Analysis of protein function and its prediction from amino acid sequence |
Q47657183 | Analysis of protein targets in pathogen-host interaction in infectious diseases: a case study on Plasmodium falciparum and Homo sapiens interaction network |
Q35543469 | Application of gap-constraints given sequential frequent pattern mining for protein function prediction |
Q33847843 | Assessing the biological significance of gene expression signatures and co-expression modules by studying their network properties |
Q33218311 | Assessing the limits of genomic data integration for predicting protein networks |
Q28481666 | Associations between HIV and human pathways revealed by protein-protein interactions and correlated gene expression profiles |
Q24530421 | BIOVERSE: enhancements to the framework for structural, functional and contextual modeling of proteins and proteomes |
Q36309543 | Bacterial protein meta-interactomes predict cross-species interactions and protein function. |
Q37620950 | BambooGDB: a bamboo genome database with functional annotation and an analysis platform |
Q33535782 | Bayesian Markov Random Field analysis for protein function prediction based on network data |
Q35214509 | Biochemical functional predictions for protein structures of unknown or uncertain function |
Q33434420 | Biological process linkage networks |
Q37141790 | Bridging protein local structures and protein functions |
Q35896222 | COMPUTATIONAL APPROACHES TO STUDY MICROBES AND MICROBIOMES. |
Q42546774 | Classifier of cross talk genes predicts the prognosis of hepatocellular carcinoma |
Q24794683 | Clustering proteins from interaction networks for the prediction of cellular functions |
Q34284958 | CombFunc: predicting protein function using heterogeneous data sources |
Q36748881 | Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function |
Q30993330 | Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction |
Q90597328 | Common Functions of Disordered Proteins across Evolutionary Distant Organisms |
Q93058549 | Comparative study of gastric cancer and chronic gastritis via network analysis |
Q36548168 | Computational approaches for the prediction of protein function in the mitochondrion |
Q47374303 | Computational approaches to protein-protein interaction |
Q36682691 | Computational prediction of cancer-gene function |
Q39501240 | Computational prediction of protein function based on weighted mapping of domains and GO terms |
Q50620086 | Construction of a chloroplast protein interaction network and functional mining of photosynthetic proteins in Arabidopsis thaliana. |
Q40262107 | Context-based retrieval of functional modules in protein-protein interaction networks |
Q48493508 | Correlation between gene expression profiles and protein-protein interactions within and across genomes. |
Q33332182 | De-orphaning the structural proteome through reciprocal comparison of evolutionarily important structural features |
Q37969439 | Defining the protein interaction network of human malaria parasite Plasmodium falciparum |
Q33821576 | Detecting remotely related proteins by their interactions and sequence similarity |
Q34365638 | Dim2p, a KH-domain protein required for small ribosomal subunit synthesis |
Q33205436 | Discovering protein-protein interactions |
Q41518046 | Discovering the hidden sub-network component in a ranked list of genes or proteins derived from genomic experiments |
Q34552423 | Dissecting the human protein-protein interaction network via phylogenetic decomposition |
Q33726193 | DockAnalyse: an application for the analysis of protein-protein interactions |
Q38448342 | Dynamically searching for a domain for protein function prediction |
Q28645821 | Dynamics of the discovery process of protein-protein interactions from low content studies |
Q30367612 | EXIA2: web server of accurate and rapid protein catalytic residue prediction. |
Q34426359 | Enhancing the prioritization of disease-causing genes through tissue specific protein interaction networks |
Q49041558 | Ensemble gene function prediction database reveals genes important for complex I formation in Arabidopsis thaliana. |
Q59330160 | Evaluating the impact of topological protein features on the negative examples selection |
Q33262820 | Evaluation of clustering algorithms for protein-protein interaction networks |
Q28472095 | Evidence-based annotation of the malaria parasite's genome using comparative expression profiling |
Q52008641 | Evolution thinks modular |
Q51544452 | Evolutionary method for finding communities in bipartite networks. |
Q59613264 | Evolving network structure of academic institutions |
Q40452387 | Explore the hidden treasure in protein-protein interaction networks - an iterative model for predicting protein functions. |
Q33589645 | Fast integration of heterogeneous data sources for predicting gene function with limited annotation |
Q48455198 | Faster and more accurate global protein function assignment from protein interaction networks using the MFGO algorithm. |
Q51957077 | Finding instabilities in the community structure of complex networks. |
Q34274790 | From networks of protein interactions to networks of functional dependencies |
Q33223219 | From single genes to co-expression networks: extracting knowledge from barley functional genomics. |
Q38289852 | From workstations to workbenches: Towards predicting physicochemically viable protein-protein interactions across a host and a pathogen |
Q46256163 | FunCoup 4: new species, data, and visualization |
Q92742192 | FunPred 3.0: improved protein function prediction using protein interaction network |
Q44915158 | FunPred-1: protein function prediction from a protein interaction network using neighborhood analysis. |
Q47661739 | Functional 5' UTR motif discovery with LESMoN: Local Enrichment of Sequence Motifs in biological Networks |
Q36331261 | Functional Module Analysis for Gene Coexpression Networks with Network Integration |
Q24806896 | Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network |
Q24811788 | Functional clustering algorithm for high-dimensional proteomics data |
Q47136082 | Functional diversity of topological modules in human protein-protein interaction networks. |
Q33581372 | Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PFP. |
Q34629093 | Functional knowledge transfer for high-accuracy prediction of under-studied biological processes |
Q30369671 | GENN: a GEneral Neural Network for learning tabulated data with examples from protein structure prediction. |
Q25255422 | Gene annotation and network inference by phylogenetic profiling |
Q31027463 | Gene function prediction by a combined analysis of gene expression data and protein-protein interaction data |
Q31144156 | Gene function prediction using labeled and unlabeled data |
Q37041547 | Gene module level analysis: identification to networks and dynamics |
Q24646439 | GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function |
Q33753690 | Genome-wide computational function prediction of Arabidopsis proteins by integration of multiple data sources |
Q33320137 | Genome-wide inference of protein interaction sites: lessons from the yeast high-quality negative protein-protein interaction dataset |
Q99638192 | Genome-wide pathogenesis interpretation using a heat diffusion-based systems genetics method and implications for gene function annotation |
Q36188504 | Genome-wide protein-protein interactions and protein function exploration in cyanobacteria |
Q33993374 | Global organization of protein complexome in the yeast Saccharomyces cerevisiae. |
Q30977956 | Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiae |
Q33737030 | Global protein interactome exploration through mining genome-scale data in Arabidopsis thaliana |
Q38459021 | GoFDR: A sequence alignment based method for predicting protein functions |
Q35032288 | Going the distance for protein function prediction: a new distance metric for protein interaction networks |
Q34663740 | Hidden information revealed by optimal community structure from a protein-complex bipartite network improves protein function prediction |
Q38456966 | Hierarchical ensemble methods for protein function prediction |
Q33321071 | High-precision high-coverage functional inference from integrated data sources |
Q93035425 | Higher-order molecular organization as a source of biological function |
Q41221996 | Identification of functional candidates amongst hypothetical proteins of Mycobacterium leprae Br4923, a causative agent of leprosy. |
Q33980092 | Identification of genes required for embryo development in Arabidopsis |
Q47974660 | Identifying drug-target proteins based on network features |
Q37011445 | Improved network community structure improves function prediction |
Q33328326 | Improving protein function prediction methods with integrated literature data |
Q35127322 | Improving protein function prediction using domain and protein complexes in PPI networks |
Q31162096 | Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy |
Q30939212 | Inferring protein function by domain context similarities in protein-protein interaction networks |
Q33901758 | Information theory applied to the sparse gene ontology annotation network to predict novel gene function |
Q36973573 | Integrated protein function prediction by mining function associations, sequences, and protein-protein and gene-gene interaction networks |
Q26824897 | Integrative approaches for finding modular structure in biological networks |
Q51374813 | Intensity and coherence of motifs in weighted complex networks. |
Q24803845 | Interaction profile-based protein classification of death domain |
Q33827023 | Interaction site prediction by structural similarity to neighboring clusters in protein-protein interaction networks |
Q36257382 | Interactome: gateway into systems biology |
Q35799567 | Interlog protein network: an evolutionary benchmark of protein interaction networks for the evaluation of clustering algorithms |
Q28604036 | K-shell Analysis Reveals Distinct Functional Parts in an Electron Transfer Network and Its Implications for Extracellular Electron Transfer |
Q61796297 | Kingdom-wide comparison reveals the evolution of diurnal gene expression in Archaeplastida |
Q28545239 | Large-scale chemical similarity networks for target profiling of compounds identified in cell-based chemical screens |
Q37416885 | Large-scale identification of human protein function using topological features of interaction network |
Q38902128 | Large-scale image-based screening and profiling of cellular phenotypes. |
Q24318581 | Local network topology in human protein interaction data predicts functional association |
Q34933194 | MIPS: analysis and annotation of proteins from whole genomes |
Q30636482 | Making sense of brain network data |
Q42044605 | Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways |
Q33498505 | Metabolic network discovery through reverse engineering of metabolome data |
Q36958939 | Mining protein networks for synthetic genetic interactions |
Q33658062 | Network Assessor: an automated method for quantitative assessment of a network's potential for gene function prediction |
Q53556135 | Network inference, analysis, and modeling in systems biology. |
Q38450989 | Network stratification analysis for identifying function-specific network layers |
Q37775135 | Network-based function prediction and interactomics: the case for metabolic enzymes |
Q24670295 | Network-based prediction of protein function |
Q38914293 | Networks of ProteinProtein Interactions: From Uncertainty to Molecular Details. |
Q62689583 | New Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods |
Q38417066 | New directions for diffusion-based network prediction of protein function: incorporating pathways with confidence |
Q84103632 | Non-Alignment Features Based Enzyme/Non-Enzyme Classification Using an Ensemble Method |
Q36397381 | Omics Data Complementarity Underlines Functional Cross-Communication in Yeast |
Q41847454 | Open source tool for prediction of genome wide protein-protein interaction network based on ortholog information |
Q35687105 | PAND: A Distribution to Identify Functional Linkage from Networks with Preferential Attachment Property |
Q33264220 | Parameter estimate of signal transduction pathways |
Q36479565 | PatchSurfers: Two methods for local molecular property-based binding ligand prediction |
Q33377258 | PlasmoDraft: a database of Plasmodium falciparum gene function predictions based on postgenomic data |
Q34324690 | Predicting multiplex subcellular localization of proteins using protein-protein interaction network: a comparative study |
Q33337959 | Prediction of enzyme function by combining sequence similarity and protein interactions |
Q34235644 | Prediction of phenotype-associated genes via a cellular network approach: a Candida albicans infection case study |
Q33241224 | Prediction of yeast protein-protein interaction network: insights from the Gene Ontology and annotations |
Q45944894 | ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network. |
Q47684375 | Protein Function Prediction. |
Q35223658 | Protein annotation from protein interaction networks and Gene Ontology |
Q33693902 | Protein complex prediction based on k-connected subgraphs in protein interaction network. |
Q45945654 | Protein complexes, big data, machine learning and integrative proteomics: lessons learned over a decade of systematic analysis of protein interaction networks. |
Q33318470 | Protein function assignment through mining cross-species protein-protein interactions |
Q35051477 | Protein function prediction by collective classification with explicit and implicit edges in protein-protein interaction networks |
Q90024987 | Protein functional annotation of simultaneously improved stability, accuracy and false discovery rate achieved by a sequence-based deep learning |
Q37125547 | Protein networks in disease |
Q38839094 | Protein-protein interactions: detection, reliability assessment and applications |
Q37824310 | Protein-protein interactions: making sense of networks via graph-theoretic modeling |
Q33369621 | ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining |
Q50134226 | Proteome data improves protein function prediction in the interactome of H. pylori. |
Q27930733 | Proteome-wide protein interaction measurements of bacterial proteins of unknown function |
Q33828116 | Proteomic analysis of differentially expressed proteins in kidneys of brain dead rabbits |
Q28077351 | Reconstruction and Application of Protein-Protein Interaction Network |
Q39286296 | Resilience of protein-protein interaction networks as determined by their large-scale topological features |
Q35086178 | Review of biological network data and its applications |
Q42012920 | Role-similarity based functional prediction in networked systems: application to the yeast proteome |
Q35810252 | SIFTER search: a web server for accurate phylogeny-based protein function prediction |
Q30000951 | Scoring protein relationships in functional interaction networks predicted from sequence data |
Q34912941 | Semi-supervised multi-label collective classification ensemble for functional genomics |
Q38401515 | Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction |
Q28474052 | Spontaneous reaction silencing in metabolic optimization |
Q33340843 | StAR: a simple tool for the statistical comparison of ROC curves |
Q22061950 | Supergenomic network compression and the discovery of EXP1 as a glutathione transferase inhibited by artesunate |
Q90029597 | Supervised-learning is an accurate method for network-based gene classification |
Q43252162 | Systematic identification of functional orthologs based on protein network comparison |
Q28536170 | Systematically studying kinase inhibitor induced signaling network signatures by integrating both therapeutic and side effects |
Q36212769 | Systems-ADME/Tox: resources and network approaches |
Q33784508 | Targeting c-Myc-activated genes with a correlation method: detection of global changes in large gene expression network dynamics |
Q38661206 | The Protein Interactome of Streptococcus pneumoniae and Bacterial Meta-interactomes Improve Function Predictions. |
Q39773188 | The evolution of protein interaction networks in regulatory proteins. |
Q33833630 | The impact of multifunctional genes on "guilt by association" analysis |
Q28509371 | The in vivo brain interactome of the amyloid precursor protein |
Q83727550 | The predicted Arabidopsis interactome resource and network topology-based systems biology analyses |
Q35132978 | The protein-protein interaction network of eyestalk, Y-organ and hepatopancreas in Chinese mitten crab Eriocheir sinensis |
Q35051909 | The role of indirect connections in gene networks in predicting function |
Q34628593 | Three-level prediction of protein function by combining profile-sequence search, profile-profile search, and domain co-occurrence networks |
Q35591540 | Topology-function conservation in protein-protein interaction networks |
Q33287248 | Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data |
Q40140345 | Uncovering biological network function via graphlet degree signatures. |
Q33339460 | Unraveling protein interaction networks with near-optimal efficiency |
Q35000170 | Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction |
Q27005781 | Using biological networks to improve our understanding of infectious diseases |
Q30479593 | Using indirect protein interactions for the prediction of Gene Ontology functions |
Q35118723 | Using multi-instance hierarchical clustering learning system to predict yeast gene function |
Q38518060 | VIRGO: computational prediction of gene functions |
Q34325782 | WNP: a novel algorithm for gene products annotation from weighted functional networks |
Q36852724 | Whole-genome annotation by using evidence integration in functional-linkage networks |
Q41860577 | Yeast Protein Interactome topology provides framework for coordinated-functionality |
Q59806513 | dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions |
Q28595865 | node2vec: Scalable Feature Learning for Networks |
Search more.