882 related articles for article (PubMed ID: 27175787)
1. Frequent mutations in acetylation and ubiquitination sites suggest novel driver mechanisms of cancer.
Narayan S; Bader GD; Reimand J
Genome Med; 2016 May; 8(1):55. PubMed ID: 27175787
[TBL] [Abstract][Full Text] [Related]
2. The mutational landscape of phosphorylation signaling in cancer.
Reimand J; Wagih O; Bader GD
Sci Rep; 2013 Oct; 3():2651. PubMed ID: 24089029
[TBL] [Abstract][Full Text] [Related]
3. Distribution bias analysis of germline and somatic single-nucleotide variations that impact protein functional site and neighboring amino acids.
Pan Y; Yan C; Hu Y; Fan Y; Pan Q; Wan Q; Torcivia-Rodriguez J; Mazumder R
Sci Rep; 2017 Feb; 7():42169. PubMed ID: 28176830
[TBL] [Abstract][Full Text] [Related]
4. Integrating mutation and gene expression cross-sectional data to infer cancer progression.
Fleck JL; Pavel AB; Cassandras CG
BMC Syst Biol; 2016 Jan; 10():12. PubMed ID: 26810975
[TBL] [Abstract][Full Text] [Related]
5. A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis.
Zhou Y; Zhang N; Li BQ; Huang T; Cai YD; Kong XY
J Biomol Struct Dyn; 2015; 33(11):2479-90. PubMed ID: 25616595
[TBL] [Abstract][Full Text] [Related]
6. iPTMnet: an integrated resource for protein post-translational modification network discovery.
Huang H; Arighi CN; Ross KE; Ren J; Li G; Chen SC; Wang Q; Cowart J; Vijay-Shanker K; Wu CH
Nucleic Acids Res; 2018 Jan; 46(D1):D542-D550. PubMed ID: 29145615
[TBL] [Abstract][Full Text] [Related]
7. Towards understanding the crosstalk between protein post-translational modifications: Homo- and heterotypic PTM pair distances on protein surfaces are not random.
Korkuć P; Walther D
Proteins; 2017 Jan; 85(1):78-92. PubMed ID: 27802577
[TBL] [Abstract][Full Text] [Related]
8. Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.
Suo C; Hrydziuszko O; Lee D; Pramana S; Saputra D; Joshi H; Calza S; Pawitan Y
Bioinformatics; 2015 Aug; 31(16):2607-13. PubMed ID: 25810432
[TBL] [Abstract][Full Text] [Related]
9. Discovery of mutated subnetworks associated with clinical data in cancer.
Vandin F; Clay P; Upfal E; Raphael BJ
Pac Symp Biocomput; 2012; ():55-66. PubMed ID: 22174262
[TBL] [Abstract][Full Text] [Related]
10. PhosphOrtholog: a web-based tool for cross-species mapping of orthologous protein post-translational modifications.
Chaudhuri R; Sadrieh A; Hoffman NJ; Parker BL; Humphrey SJ; Stöckli J; Hill AP; James DE; Yang JY
BMC Genomics; 2015 Aug; 16(1):617. PubMed ID: 26283093
[TBL] [Abstract][Full Text] [Related]
11. ActiveDriverDB: human disease mutations and genome variation in post-translational modification sites of proteins.
Krassowski M; Paczkowska M; Cullion K; Huang T; Dzneladze I; Ouellette BFF; Yamada JT; Fradet-Turcotte A; Reimand J
Nucleic Acids Res; 2018 Jan; 46(D1):D901-D910. PubMed ID: 29126202
[TBL] [Abstract][Full Text] [Related]
12. Integration of protein phosphorylation, acetylation, and methylation data sets to outline lung cancer signaling networks.
Grimes M; Hall B; Foltz L; Levy T; Rikova K; Gaiser J; Cook W; Smirnova E; Wheeler T; Clark NR; Lachmann A; Zhang B; Hornbeck P; Ma'ayan A; Comb M
Sci Signal; 2018 May; 11(531):. PubMed ID: 29789295
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics Knowledge Map for Analysis of Beta-Catenin Function in Cancer.
Çelen İ; Ross KE; Arighi CN; Wu CH
PLoS One; 2015; 10(10):e0141773. PubMed ID: 26509276
[TBL] [Abstract][Full Text] [Related]
14. Cancer Gene Discovery by Network Analysis of Somatic Mutations Using the MUFFINN Server.
Han H; Lehner B; Lee I
Methods Mol Biol; 2019; 1907():37-50. PubMed ID: 30542989
[TBL] [Abstract][Full Text] [Related]
15. Pan-Cancer Analysis Reveals the Functional Importance of Protein Lysine Modification in Cancer Development.
Chen L; Miao Y; Liu M; Zeng Y; Gao Z; Peng D; Hu B; Li X; Zheng Y; Xue Y; Zuo Z; Xie Y; Ren J
Front Genet; 2018; 9():254. PubMed ID: 30065750
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics Analysis of PTM-Modified Protein Interaction Networks and Complexes.
Woodsmith J; Stelzl U; Vinayagam A
Methods Mol Biol; 2017; 1558():321-332. PubMed ID: 28150245
[TBL] [Abstract][Full Text] [Related]
17. Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks.
Zhu H; Uusküla-Reimand L; Isaev K; Wadi L; Alizada A; Shuai S; Huang V; Aduluso-Nwaobasi D; Paczkowska M; Abd-Rabbo D; Ocsenas O; Liang M; Thompson JD; Li Y; Ruan L; Krassowski M; Dzneladze I; Simpson JT; Lupien M; Stein LD; Boutros PC; Wilson MD; Reimand J
Mol Cell; 2020 Mar; 77(6):1307-1321.e10. PubMed ID: 31954095
[TBL] [Abstract][Full Text] [Related]
18. Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes.
Leiserson MD; Vandin F; Wu HT; Dobson JR; Eldridge JV; Thomas JL; Papoutsaki A; Kim Y; Niu B; McLellan M; Lawrence MS; Gonzalez-Perez A; Tamborero D; Cheng Y; Ryslik GA; Lopez-Bigas N; Getz G; Ding L; Raphael BJ
Nat Genet; 2015 Feb; 47(2):106-14. PubMed ID: 25501392
[TBL] [Abstract][Full Text] [Related]
19. iPTMnet: Integrative Bioinformatics for Studying PTM Networks.
Ross KE; Huang H; Ren J; Arighi CN; Li G; Tudor CO; Lv M; Lee JY; Chen SC; Vijay-Shanker K; Wu CH
Methods Mol Biol; 2017; 1558():333-353. PubMed ID: 28150246
[TBL] [Abstract][Full Text] [Related]
20. Dual coordination of post translational modifications in human protein networks.
Woodsmith J; Kamburov A; Stelzl U
PLoS Comput Biol; 2013; 9(3):e1002933. PubMed ID: 23505349
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]