335 related articles for article (PubMed ID: 22729399)
1. Proteome-wide prediction of protein-protein interactions from high-throughput data.
Liu ZP; Chen L
Protein Cell; 2012 Jul; 3(7):508-20. PubMed ID: 22729399
[TBL] [Abstract][Full Text] [Related]
2. Large-scale de novo prediction of physical protein-protein association.
Elefsinioti A; Saraç ÖS; Hegele A; Plake C; Hubner NC; Poser I; Sarov M; Hyman A; Mann M; Schroeder M; Stelzl U; Beyer A
Mol Cell Proteomics; 2011 Nov; 10(11):M111.010629. PubMed ID: 21836163
[TBL] [Abstract][Full Text] [Related]
3. Dual proteome-scale networks reveal cell-specific remodeling of the human interactome.
Huttlin EL; Bruckner RJ; Navarrete-Perea J; Cannon JR; Baltier K; Gebreab F; Gygi MP; Thornock A; Zarraga G; Tam S; Szpyt J; Gassaway BM; Panov A; Parzen H; Fu S; Golbazi A; Maenpaa E; Stricker K; Guha Thakurta S; Zhang T; Rad R; Pan J; Nusinow DP; Paulo JA; Schweppe DK; Vaites LP; Harper JW; Gygi SP
Cell; 2021 May; 184(11):3022-3040.e28. PubMed ID: 33961781
[TBL] [Abstract][Full Text] [Related]
4. Proteome-Scale Human Interactomics.
Luck K; Sheynkman GM; Zhang I; Vidal M
Trends Biochem Sci; 2017 May; 42(5):342-354. PubMed ID: 28284537
[TBL] [Abstract][Full Text] [Related]
5. Predicting Protein-Protein Interactions from the Molecular to the Proteome Level.
Keskin O; Tuncbag N; Gursoy A
Chem Rev; 2016 Apr; 116(8):4884-909. PubMed ID: 27074302
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Proteome-wide prediction of self-interacting proteins based on multiple properties.
Liu Z; Guo F; Zhang J; Wang J; Lu L; Li D; He F
Mol Cell Proteomics; 2013 Jun; 12(6):1689-700. PubMed ID: 23422585
[TBL] [Abstract][Full Text] [Related]
8. Discovery-Versus Hypothesis-Driven Detection of Protein-Protein Interactions and Complexes.
Bludau I
Int J Mol Sci; 2021 Apr; 22(9):. PubMed ID: 33923221
[TBL] [Abstract][Full Text] [Related]
9. Predicting the interactome of Xanthomonas oryzae pathovar oryzae for target selection and DB service.
Kim JG; Park D; Kim BC; Cho SW; Kim YT; Park YJ; Cho HJ; Park H; Kim KB; Yoon KO; Park SJ; Lee BM; Bhak J
BMC Bioinformatics; 2008 Jan; 9():41. PubMed ID: 18215330
[TBL] [Abstract][Full Text] [Related]
10. Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps.
Nabieva E; Jim K; Agarwal A; Chazelle B; Singh M
Bioinformatics; 2005 Jun; 21 Suppl 1():i302-10. PubMed ID: 15961472
[TBL] [Abstract][Full Text] [Related]
11. Architecture of the human interactome defines protein communities and disease networks.
Huttlin EL; Bruckner RJ; Paulo JA; Cannon JR; Ting L; Baltier K; Colby G; Gebreab F; Gygi MP; Parzen H; Szpyt J; Tam S; Zarraga G; Pontano-Vaites L; Swarup S; White AE; Schweppe DK; Rad R; Erickson BK; Obar RA; Guruharsha KG; Li K; Artavanis-Tsakonas S; Gygi SP; Harper JW
Nature; 2017 May; 545(7655):505-509. PubMed ID: 28514442
[TBL] [Abstract][Full Text] [Related]
12. Interactome: gateway into systems biology.
Cusick ME; Klitgord N; Vidal M; Hill DE
Hum Mol Genet; 2005 Oct; 14 Spec No. 2():R171-81. PubMed ID: 16162640
[TBL] [Abstract][Full Text] [Related]
13. Large-scale identification of human protein function using topological features of interaction network.
Li Z; Liu Z; Zhong W; Huang M; Wu N; Xie Y; Dai Z; Zou X
Sci Rep; 2016 Nov; 6():37179. PubMed ID: 27849060
[TBL] [Abstract][Full Text] [Related]
14. Data mining in protein interactomics. Six computational research challenges and opportunities.
Chen JY; Sivachenko AY
IEEE Eng Med Biol Mag; 2005; 24(3):95-102. PubMed ID: 15971847
[No Abstract] [Full Text] [Related]
15. Using product kernels to predict protein interactions.
Martin S; Brown WM; Faulon JL
Adv Biochem Eng Biotechnol; 2008; 110():215-45. PubMed ID: 17922100
[TBL] [Abstract][Full Text] [Related]
16. Recent advances in predicting and modeling protein-protein interactions.
Durham J; Zhang J; Humphreys IR; Pei J; Cong Q
Trends Biochem Sci; 2023 Jun; 48(6):527-538. PubMed ID: 37061423
[TBL] [Abstract][Full Text] [Related]
17. The prediction of protein-protein interacting sites in genome-wide protein interaction networks: the test case of the human cell cycle.
Bartoli L; Martelli PL; Rossi I; Fariselli P; Casadio R
Curr Protein Pept Sci; 2010 Nov; 11(7):601-8. PubMed ID: 20887257
[TBL] [Abstract][Full Text] [Related]
18. Toward an understanding of the protein interaction network of the human liver.
Wang J; Huo K; Ma L; Tang L; Li D; Huang X; Yuan Y; Li C; Wang W; Guan W; Chen H; Jin C; Wei J; Zhang W; Yang Y; Liu Q; Zhou Y; Zhang C; Wu Z; Xu W; Zhang Y; Liu T; Yu D; Zhang Y; Chen L; Zhu D; Zhong X; Kang L; Gan X; Yu X; Ma Q; Yan J; Zhou L; Liu Z; Zhu Y; Zhou T; He F; Yang X
Mol Syst Biol; 2011 Oct; 7():536. PubMed ID: 21988832
[TBL] [Abstract][Full Text] [Related]
19. The bait compatibility index: computational bait selection for interaction proteomics experiments.
Saha S; Kaur P; Ewing RM
J Proteome Res; 2010 Oct; 9(10):4972-81. PubMed ID: 20731387
[TBL] [Abstract][Full Text] [Related]
20. Computational methods for predicting protein-protein interactions.
Pitre S; Alamgir M; Green JR; Dumontier M; Dehne F; Golshani A
Adv Biochem Eng Biotechnol; 2008; 110():247-67. PubMed ID: 18202838
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
