Categorizing biases in high-confidence high-throughput protein-protein interaction data sets.
about
Protein stickiness, rather than number of functional protein-protein interactions, predicts expression noise and plasticity in yeastSystems biology approaches for discovering biomarkers for traumatic brain injury"Guilt by association" is the exception rather than the rule in gene networks.Inferring high-confidence human protein-protein interactionsDiversity in genetic in vivo methods for protein-protein interaction studies: from the yeast two-hybrid system to the mammalian split-luciferase system.Reconstituting protein interaction networks using parameter-dependent domain-domain interactionsNovel Burkholderia mallei virulence factors linked to specific host-pathogen protein interactions.A systems biology strategy to identify molecular mechanisms of action and protein indicators of traumatic brain injury.Mining host-pathogen protein interactions to characterize Burkholderia mallei infectivity mechanisms.Using host-pathogen protein interactions to identify and characterize Francisella tularensis virulence factors.Bcl2-associated athanogene 3 interactome analysis reveals a new role in modulating proteasome activity.Interactome mapping for analysis of complex phenotypes: insights from benchmarking binary interaction assays.Molecular interaction networks for the analysis of human disease: utility, limitations, and considerations.Mechanisms of action of Coxiella burnetii effectors inferred from host-pathogen protein interactions.
P2860
Q21093159-CF99993C-0B8D-4C29-93F9-BB148257B16BQ26824124-2A5CBF35-E2F9-47F6-AAC9-D73FA7D05EBEQ34220929-54537F0B-11B1-4C00-BA92-E8DEAEC7B0CDQ34257665-1D5896F0-34AD-44CC-8558-E3B1FF22471DQ34280594-D506FF13-01F1-42B0-9844-9B873AAB82A4Q34708844-19384C99-2342-4505-A380-0EADA9AE6E6BQ34783879-6A772CC5-D633-4F9D-9883-9F6B59DFE847Q35008896-C8674CC9-FFBA-4677-A43C-A935AA08BE80Q35147602-98BB0695-4D99-4BB6-89D9-354BFF3F81ADQ35881003-9096BC4D-BDD9-4E25-938D-1598D6088BC6Q37214675-D2968CAD-1676-42DC-8E5C-944FAC1A315DQ38010411-0CFA7D81-FBBF-4F24-90B1-401E47586A8CQ45007597-5CCCE45B-5239-438C-BB6F-1B7A8CC3931FQ47138796-E48B4F4E-5680-4C97-B74E-343084E17E81
P2860
Categorizing biases in high-confidence high-throughput protein-protein interaction data sets.
description
2011 nî lūn-bûn
@nan
2011 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Categorizing biases in high-co ...... protein interaction data sets.
@ast
Categorizing biases in high-co ...... protein interaction data sets.
@en
Categorizing biases in high-co ...... protein interaction data sets.
@nl
type
label
Categorizing biases in high-co ...... protein interaction data sets.
@ast
Categorizing biases in high-co ...... protein interaction data sets.
@en
Categorizing biases in high-co ...... protein interaction data sets.
@nl
prefLabel
Categorizing biases in high-co ...... protein interaction data sets.
@ast
Categorizing biases in high-co ...... protein interaction data sets.
@en
Categorizing biases in high-co ...... protein interaction data sets.
@nl
P2093
P2860
P356
P1476
Categorizing biases in high-co ...... protein interaction data sets.
@en
P2093
Jaques Reifman
Joseph Ivanic
Vesna Memisević
Xueping Yu
P2860
P304
M111.012500
P356
10.1074/MCP.M111.012500
P577
2011-08-29T00:00:00Z