scholarly article | Q13442814 |
P50 | author | Jeffrey L. Wrana | Q92537055 |
P2093 | author name string | Ian W Taylor | |
P2860 | cites work | Confirmation of organized modularity in the yeast interactome | Q42745586 |
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Modularity and evolutionary constraint on proteins | Q44596996 | ||
Discovering disease-genes by topological features in human protein-protein interaction network | Q48432576 | ||
Controllability of complex networks | Q51569838 | ||
Chaos in small-world networks | Q52065416 | ||
The Crumbs complex couples cell density sensing to Hippo-dependent control of the TGF-β-SMAD pathway | Q52605847 | ||
SnapShot: Protein-Protein Interaction Networks | Q56989191 | ||
Random Graphs | Q57309160 | ||
Towards a proteome-scale map of the human protein–protein interaction network | Q21735930 | ||
Scale-free networks in cell biology | Q22306161 | ||
Analysis of tyrosine phosphorylation-dependent protein-protein interactions in TrkB-mediated intracellular signaling using modified yeast two-hybrid system | Q24291387 | ||
An empirical framework for binary interactome mapping | Q24322723 | ||
DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions | Q24548456 | ||
HitPredict: a database of quality assessed protein–protein interactions in nine species | Q24608927 | ||
High-quality binary protein interaction map of the yeast interactome network | Q24651397 | ||
Cost-effective strategies for completing the interactome | Q24654784 | ||
Large-scale mapping of human protein-protein interactions by mass spectrometry | Q24670192 | ||
Global topological features of cancer proteins in the human interactome | Q24672981 | ||
STRING 7--recent developments in the integration and prediction of protein interactions | Q24675384 | ||
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The human disease network | Q24678240 | ||
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Emergence of Scaling in Random Networks | Q27037290 | ||
Functional profiling of the Saccharomyces cerevisiae genome | Q27860544 | ||
A novel genetic system to detect protein-protein interactions | Q27860915 | ||
Network biology: understanding the cell's functional organization | Q27861027 | ||
Collective dynamics of 'small-world' networks | Q27861064 | ||
A generic protein purification method for protein complex characterization and proteome exploration | Q27861087 | ||
Global mapping of the yeast genetic interaction network | Q27934987 | ||
A protein interaction map of Drosophila melanogaster | Q28131783 | ||
Toward a functional analysis of the yeast genome through exhaustive two-hybrid screens | Q28131836 | ||
Signal transduction by the TGF-beta superfamily | Q28201963 | ||
High-throughput mapping of a dynamic signaling network in mammalian cells | Q28239249 | ||
Network modeling links breast cancer susceptibility and centrosome dysfunction | Q28252491 | ||
The BioGRID Interaction Database: 2011 update | Q28298160 | ||
Analysis of the human protein interactome and comparison with yeast, worm and fly interaction datasets | Q28299231 | ||
Reactome pathway analysis to enrich biological discovery in proteomics data sets | Q28608563 | ||
Deep sequencing of target linkage assay-identified regions in familial breast cancer: methods, analysis pipeline and troubleshooting | Q28748212 | ||
Error and attack tolerance of complex networks | Q29547268 | ||
Comparative assessment of large-scale data sets of protein-protein interactions | Q29547451 | ||
A chromatin-mediated reversible drug-tolerant state in cancer cell subpopulations | Q29614275 | ||
Evidence for dynamically organized modularity in the yeast protein-protein interaction network | Q29614449 | ||
Network-based classification of breast cancer metastasis | Q29616384 | ||
Dynamic Complex Formation During the Yeast Cell Cycle | Q30002325 | ||
Protein interactions in human genetic diseases. | Q30367185 | ||
MAPPIT: a cytokine receptor-based two-hybrid method in mammalian cells. | Q30860835 | ||
High-throughput yeast two-hybrid assays for large-scale protein interaction mapping | Q30992083 | ||
How reliable are experimental protein-protein interaction data? | Q33186555 | ||
Stratus not altocumulus: a new view of the yeast protein interaction network | Q33258019 | ||
Detecting interactions with membrane proteins using a membrane two-hybrid assay in yeast | Q33623329 | ||
mProphet: automated data processing and statistical validation for large-scale SRM experiments | Q33851184 | ||
CAERUS: predicting CAncER oUtcomeS using relationship between protein structural information, protein networks, gene expression data, and mutation data | Q33869027 | ||
Modulation of STAT signaling by STAT-interacting proteins | Q33941428 | ||
An experimentally derived confidence score for binary protein-protein interactions | Q34292333 | ||
A protein linkage map of Escherichia coli bacteriophage T7. | Q34367837 | ||
Online predicted human interaction database | Q34385609 | ||
Analysis of protein complexes using mass spectrometry | Q34642068 | ||
Empirically controlled mapping of the Caenorhabditis elegans protein-protein interactome network | Q34676654 | ||
Dynamic modularity in protein interaction networks predicts breast cancer outcome | Q34934057 | ||
Studying the interactome with the yeast two-hybrid system and mass spectrometry | Q35841114 | ||
Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues | Q36244121 | ||
Mining literature for systems biology | Q36619845 | ||
Impact of treatment end point definitions on perceived differences in long-term outcome with tyrosine kinase inhibitor therapy in chronic myeloid leukemia | Q36920407 | ||
Literature-curated protein interaction datasets. | Q37196237 | ||
Identification of rare cancer driver mutations by network reconstruction | Q37363146 | ||
Evidence for Network Evolution in an Arabidopsis Interactome Map | Q38367823 | ||
Edgetic perturbation models of human inherited disorders | Q42124353 | ||
P433 | issue | 10 | |
P304 | page(s) | 1706-1716 | |
P577 | publication date | 2012-05-01 | |
P1433 | published in | Proteomics | Q15614164 |
P1476 | title | Protein interaction networks in medicine and disease | |
P478 | volume | 12 |
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Q34500054 | Integrating the interactome and the transcriptome of Drosophila |
Q30364926 | Large Scale Chemical Cross-linking Mass Spectrometry Perspectives. |
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Q45007597 | Molecular interaction networks for the analysis of human disease: utility, limitations, and considerations. |
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Q38066152 | Systematic investigation of protein-small molecule interactions. |
Q52326270 | The latent geometry of the human protein interaction network. |
Q55026799 | Underlying mechanisms of cyclic peptide inhibitors interrupting the interaction of CK2α/CK2β: comparative molecular dynamics simulation studies. |
Q33588662 | VAN: an R package for identifying biologically perturbed networks via differential variability analysis |
Q28658946 | t4 workshop report: Pathways of Toxicity |
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