171 related articles for article (PubMed ID: 26386316)
1. Integration of quantitative proteomics data and interaction networks: Identification of dysregulated cellular functions during cancer progression.
Zanzoni A; Brun C
Methods; 2016 Jan; 93():103-9. PubMed ID: 26386316
[TBL] [Abstract][Full Text] [Related]
2. Construction of protein interaction networks based on the label-free quantitative proteomics.
Sardiu ME; Washburn MP
Methods Mol Biol; 2011; 781():71-85. PubMed ID: 21877278
[TBL] [Abstract][Full Text] [Related]
3. Network Tools for the Analysis of Proteomic Data.
Chisanga D; Keerthikumar S; Mathivanan S; Chilamkurti N
Methods Mol Biol; 2017; 1549():177-197. PubMed ID: 27975292
[TBL] [Abstract][Full Text] [Related]
4. Detecting disease genes based on semi-supervised learning and protein-protein interaction networks.
Nguyen TP; Ho TB
Artif Intell Med; 2012 Jan; 54(1):63-71. PubMed ID: 22000346
[TBL] [Abstract][Full Text] [Related]
5. Construction and analyses of human large-scale tissue specific networks.
Liu W; Wang J; Wang T; Xie H
PLoS One; 2014; 9(12):e115074. PubMed ID: 25513809
[TBL] [Abstract][Full Text] [Related]
6. Analyzing protein-protein interaction networks.
Koh GC; Porras P; Aranda B; Hermjakob H; Orchard SE
J Proteome Res; 2012 Apr; 11(4):2014-31. PubMed ID: 22385417
[TBL] [Abstract][Full Text] [Related]
7. Identification of disrupted pathways in ulcerative colitis-related colorectal carcinoma by systematic tracking the dysregulated modules.
Wu D; Li Q; Song G; Lu J
J BUON; 2016; 21(2):366-74. PubMed ID: 27273946
[TBL] [Abstract][Full Text] [Related]
8. PIGNON: a protein-protein interaction-guided functional enrichment analysis for quantitative proteomics.
Nadeau R; Byvsheva A; Lavallée-Adam M
BMC Bioinformatics; 2021 Jun; 22(1):302. PubMed ID: 34088263
[TBL] [Abstract][Full Text] [Related]
9. Protein-protein interaction network-based detection of functionally similar proteins within species.
Song B; Wang F; Guo Y; Sang Q; Liu M; Li D; Fang W; Zhang D
Proteins; 2012 Jul; 80(7):1736-43. PubMed ID: 22411607
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatic approach to identify chaperone pathway relationship from large-scale interaction networks.
Gong Y; Zhang Z; Houry WA
Methods Mol Biol; 2011; 787():189-203. PubMed ID: 21898237
[TBL] [Abstract][Full Text] [Related]
11. Functional module search in protein networks based on semantic similarity improves the analysis of proteomics data.
Boyanova D; Nilla S; Klau GW; Dandekar T; Müller T; Dittrich M
Mol Cell Proteomics; 2014 Jul; 13(7):1877-89. PubMed ID: 24807868
[TBL] [Abstract][Full Text] [Related]
12. PPI spider: a tool for the interpretation of proteomics data in the context of protein-protein interaction networks.
Antonov AV; Dietmann S; Rodchenkov I; Mewes HW
Proteomics; 2009 May; 9(10):2740-9. PubMed ID: 19405022
[TBL] [Abstract][Full Text] [Related]
13. IIIDB: a database for isoform-isoform interactions and isoform network modules.
Tseng YT; Li W; Chen CH; Zhang S; Chen JJ; Zhou X; Liu CC
BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S10. PubMed ID: 25707505
[TBL] [Abstract][Full Text] [Related]
14. Dynamic protein interaction network construction and applications.
Wang J; Peng X; Peng W; Wu FX
Proteomics; 2014 Mar; 14(4-5):338-52. PubMed ID: 24339054
[TBL] [Abstract][Full Text] [Related]
15. Determining the Significance of Protein Network Features and Attributes Using Permutation Testing.
Cursons J; Davis MJ
Methods Mol Biol; 2017; 1549():199-208. PubMed ID: 27975293
[TBL] [Abstract][Full Text] [Related]
16. Discovering distinct functional modules of specific cancer types using protein-protein interaction networks.
Shen R; Wang X; Guda C
Biomed Res Int; 2015; 2015():146365. PubMed ID: 26495282
[TBL] [Abstract][Full Text] [Related]
17. Analyzing protein-protein interactions in the post-interactomic era. Are we ready for the endgame?
Johnsson N
Biochem Biophys Res Commun; 2014 Mar; 445(4):739-45. PubMed ID: 24548408
[TBL] [Abstract][Full Text] [Related]
18. CHIP-MYTH: a novel interactive proteomics method for the assessment of agonist-dependent interactions of the human β₂-adrenergic receptor.
Kittanakom S; Barrios-Rodiles M; Petschnigg J; Arnoldo A; Wong V; Kotlyar M; Heisler LE; Jurisica I; Wrana JL; Nislow C; Stagljar I
Biochem Biophys Res Commun; 2014 Mar; 445(4):746-56. PubMed ID: 24561123
[TBL] [Abstract][Full Text] [Related]
19. Hox protein interactions: screening and network building.
Bergiers I; Lambert B; Daakour S; Twizere JC; Rezsohazy R
Methods Mol Biol; 2014; 1196():319-48. PubMed ID: 25151173
[TBL] [Abstract][Full Text] [Related]
20. Enriching Human Interactome with Functional Mutations to Detect High-Impact Network Modules Underlying Complex Diseases.
Cui H; Srinivasan S; Korkin D
Genes (Basel); 2019 Nov; 10(11):. PubMed ID: 31731769
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]