참고문헌 (70)

1. Cell Bailey 173 2 371 2018 10.1016/j.cell.2018.02.060 Comprehensive characterization of cancer driver genes and mutations 

   상세보기

2. Nature Gaudelli 551 7681 464 2017 10.1038/nature24644 Programmable base editing of A*T to G*C in genomic DNA without DNA cleavage 

   상세보기

3. Nat. Genet Nelson 47 8 856 2015 10.1038/ng.3314 The support of human genetic evidence for approved drug indications 

   상세보기

4. Sci. Rep. Hingorani 9 1 18911 2019 10.1038/s41598-019-54849-w Improving the odds of drug development success through human genomics: modelling study 

   상세보기

5. Drug Discov. Today Dopazo 19 2 126 2014 10.1016/j.drudis.2013.06.003 Genomics and transcriptomics in drug discovery 

   상세보기

6. Annu. Rev. Pathol. Pon 10 25 2015 10.1146/annurev-pathol-012414-040312 Driver and passenger mutations in cancer 

   상세보기

7. Nature Lawrence 499 7457 214 2013 10.1038/nature12213 Mutational heterogeneity in cancer and the search for new cancer-associated genes 

   상세보기

8. Science Vogelstein 339 6127 1546 2013 10.1126/science.1235122 Cancer genome landscapes 

   상세보기

9. N. Engl. J. Med. Gerlinger 366 10 883 2012 10.1056/NEJMoa1113205 Intratumor heterogeneity and branched evolution revealed by multiregion sequencing 

   상세보기

10. Genome Biol. Jolly 19 1 95 2018 10.1186/s13059-018-1476-3 Timing somatic events in the evolution of cancer 

    상세보기

11. Nat. Commun. Malikic 10 1 2750 2019 10.1038/s41467-019-10737-5 Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data 

    상세보기

12. Genome Biol. McLaren 17 1 122 2016 10.1186/s13059-016-0974-4 The Ensembl variant effect predictor 

    상세보기

13. Nat. Rev. Cancer Dang 17 8 502 2017 10.1038/nrc.2017.36 Drugging the ‘undruggable’ cancer targets 

    상세보기

14. Cell Tsherniak 170 3 2017 10.1016/j.cell.2017.06.010 Defining a cancer dependency Map 

    상세보기

15. Cell Luo 136 5 823 2009 10.1016/j.cell.2009.02.024 Principles of cancer therapy: oncogene and non-oncogene addiction 

    상세보기

16. Nucleic Acids Res. Kuleshov 44 W1 W90 2016 10.1093/nar/gkw377 Enrichr: a comprehensive gene set enrichment analysis web server 2016 update 

    상세보기

17. Proc. Natl. Acad. Sci. U. S. A. Subramanian 102 43 15545 2005 10.1073/pnas.0506580102 Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles 

    상세보기

18. BMC Med. Genomics Cai 10 Suppl. 4 75 2017 10.1186/s12920-017-0306-x Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus 

    상세보기

19. Brief Bioinform. van Dam 19 4 575 2018 Gene co-expression analysis for functional classification and gene-disease predictions 

20. Cell Vasaikar 177 4 1035 2019 10.1016/j.cell.2019.03.030 Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities 

    상세보기

21. Nature Jiang 567 7747 257 2019 10.1038/s41586-019-0987-8 Proteomics identifies new therapeutic targets of early-stage hepatocellular carcinoma 

    상세보기

22. Trends Cancer Butler 6 5 380 2020 10.1016/j.trecan.2020.02.010 MGMT status as a clinical biomarker in glioblastoma 

    상세보기

23. Nat. Rev. Genet Ong 12 4 283 2011 10.1038/nrg2957 Enhancer function: new insights into the regulation of tissue-specific gene expression 

    상세보기

24. Trends Cancer Sengupta 3 4 269 2017 10.1016/j.trecan.2017.03.006 Super-enhancer-driven transcriptional dependencies in cancer 

    상세보기

25. Nature Roadmap Epigenomics 518 7539 317 2015 10.1038/nature14248 Integrative analysis of 111 reference human epigenomes 

    상세보기

26. World J. Gastroenterol. Lim 22 3 1190 2016 10.3748/wjg.v22.i3.1190 Genomic and epigenomic heterogeneity in molecular subtypes of gastric cancer 

    상세보기

27. Nature Cancer Genome Atlas Research, N 513 7517 202 2014 10.1038/nature13480 Comprehensive molecular characterization of gastric adenocarcinoma 

    상세보기

28. Nat. Rev. Mol. Cell Biol. Patti 13 4 263 2012 10.1038/nrm3314 Innovation: metabolomics: the apogee of the omics trilogy 

    상세보기

29. Nat. Rev Drug Discov. Wishart 15 7 473 2016 10.1038/nrd.2016.32 Emerging applications of metabolomics in drug discovery and precision medicine 

    상세보기

30. Trends Biochem. Sci. Luck 42 5 342 2017 10.1016/j.tibs.2017.02.006 Proteome-scale human interactomics 

    상세보기

31. Sci. Rep. Kanhaiya 7 1 10327 2017 10.1038/s41598-017-10491-y Controlling directed protein interaction networks in cancer 

    상세보기

32. Nucleic Acids Res. Liu 44 5 e49 2016 10.1093/nar/gkv1281 Modeling co-occupancy of transcription factors using chromatin features 

    상세보기

33. Cell Res. Guo 29 3 179 2019 10.1038/s41422-019-0144-9 Degrading proteins in animals: ‘PROTAC’tion goes in vivo 

    상세보기

34. Nucleic Acids Res. Koscielny 45 D1 D985 2017 10.1093/nar/gkw1055 Open Targets: a platform for therapeutic target identification and validation 

    상세보기

35. Nucleic Acids Res. Carvalho-Silva 47 D1 D1056 2019 10.1093/nar/gky1133 Open Targets Platform: new developments and updates two years on 

    상세보기

36. Database (Oxford) Rouillard 2016 baw100 2016 10.1093/database/baw100 The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins 

    상세보기

37. Nucleic Acids Res. Nguyen 45 D1 D995 2017 10.1093/nar/gkw1072 Pharos: Collating protein information to shed light on the druggable genome 

    상세보기

38. Cell McDonald 170 3 577 2017 10.1016/j.cell.2017.07.005 Project DRIVE: a compendium of cancer dependencies and synthetic lethal relationships uncovered by large-scale, deep RNAi screening 

    상세보기

39. Nat. Commun. McFarland 9 1 4610 2018 10.1038/s41467-018-06916-5 Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration 

    상세보기

40. Science Kessler 335 6066 348 2012 10.1126/science.1212728 A SUMOylation-dependent transcriptional subprogram is required for Myc-driven tumorigenesis 

    상세보기

41. Nature Ghandi 569 7757 503 2019 10.1038/s41586-019-1186-3 Next-generation characterization of the Cancer Cell Line Encyclopedia 

    상세보기

42. Nat. Rev. Drug Discov. Schneider 19 5 353 2020 10.1038/s41573-019-0050-3 Rethinking drug design in the artificial intelligence era 

    상세보기

43. Front Pharmacol. Cui 11 733 2020 10.3389/fphar.2020.00733 Discovering anti-cancer drugs via computational methods 

    상세보기

44. J. Med. Chem. Zhu 56 17 6560 2013 10.1021/jm301916b Hit identification and optimization in virtual screening: practical recommendations based on a critical literature analysis 

    상세보기

45. Nature Lyu 566 7743 224 2019 10.1038/s41586-019-0917-9 Ultra-large library docking for discovering new chemotypes 

    상세보기

46. Trends Pharmacol. Sci. Zheng 34 10 549 2013 10.1016/j.tips.2013.08.004 Computational methods for drug design and discovery: focus on China 

    상세보기

47. Science Lamb 313 5795 1929 2006 10.1126/science.1132939 The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease 

    상세보기

48. iScience Huang 7 40 2018 10.1016/j.isci.2018.08.017 A large-scale gene expression intensity-based similarity metric for drug repositioning 

    상세보기

49. Cell Subramanian 171 6 1437 2017 10.1016/j.cell.2017.10.049 A next generation connectivity map: L1000 platform and the first 1,000,000 profiles 

    상세보기

50. Drug Discov. Today Qu 17 23-24 1289 2012 10.1016/j.drudis.2012.07.017 Applications of Connectivity Map in drug discovery and development 

    상세보기

51. Nat. Commun. Chen 8 16022 2017 10.1038/ncomms16022 Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets 

    상세보기

52. Bioinformatics Sandmann 30 1 127 2014 10.1093/bioinformatics/btt592 gCMAP: user-friendly connectivity mapping with R 

    상세보기

53. Cancer Discov. Jahchan 3 12 1364 2013 10.1158/2159-8290.CD-13-0183 A drug repositioning approach identifies tricyclic antidepressants as inhibitors of small cell lung cancer and other neuroendocrine tumors 

    상세보기

54. Cancer Res. van Noort 74 20 5690 2014 10.1158/0008-5472.CAN-13-3540 Novel drug candidates for the treatment of metastatic colorectal cancer through global inverse gene-expression profiling 

    상세보기

55. Nat. Genet Alvarez 50 7 979 2018 10.1038/s41588-018-0138-4 A precision oncology approach to the pharmacological targeting of mechanistic dependencies in neuroendocrine tumors 

    상세보기

56. Nat. Commun. Stathias 9 1 5315 2018 10.1038/s41467-018-07659-z Drug and disease signature integration identifies synergistic combinations in glioblastoma 

    상세보기

57. Br. J. Pharmacol. Hughes 162 6 1239 2011 10.1111/j.1476-5381.2010.01127.x Principles of early drug discovery 

    상세보기

58. Nature Faivre 578 7794 306 2020 10.1038/s41586-020-1930-8 Selective inhibition of the BD2 bromodomain of BET proteins in prostate cancer 

    상세보기

59. Stat. Biopharm. Res. Tryputsen 6 2 154 2014 10.1080/19466315.2014.888013 Using Fisher’s method to identify enriched gene sets 

    상세보기

60. Drug Discov. Today Verbist 20 5 505 2015 10.1016/j.drudis.2014.12.014 Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project 

    상세보기

61. Oncotarget Pozdeyev 7 32 51619 2016 10.18632/oncotarget.10010 Integrating heterogeneous drug sensitivity data from cancer pharmacogenomic studies 

    상세보기

62. F1000Res Nguyen 5 2016 10.12688/f1000research.10529.1 Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data 

    상세보기

63. Mol. Cancer Res. Coldren 4 8 521 2006 10.1158/1541-7786.MCR-06-0095 Baseline gene expression predicts sensitivity to gefitinib in non-small cell lung cancer cell lines 

    상세보기

64. Nat. Chem. Biol. Rees 12 2 109 2016 10.1038/nchembio.1986 Correlating chemical sensitivity and basal gene expression reveals mechanism of action 

    상세보기

65. Cell McMillan 173 4 864 2018 10.1016/j.cell.2018.03.028 Chemistry-first approach for nomination of personalized treatment in lung cancer 

    상세보기

66. Nature Garnett 483 7391 570 2012 10.1038/nature11005 Systematic identification of genomic markers of drug sensitivity in cancer cells 

    상세보기

67. Cell Iorio 166 3 740 2016 10.1016/j.cell.2016.06.017 A landscape of pharmacogenomic interactions in cancer 

    상세보기

68. Drug Resist Updat Twomey 30 48 2017 10.1016/j.drup.2017.02.002 Drug-biomarker co-development in oncology - 20 years and counting 

    상세보기

69. Pharmaceuticals (Basel) Schmidt 9 33 2016 10.3390/ph9020033 Tumor heterogeneity, single-cell sequencing, and drug resistance 

    상세보기

70. Nat. Methods Newman 12 5 453 2015 10.1038/nmeth.3337 Robust enumeration of cell subsets from tissue expression profiles 

    상세보기

활용도 Top5 논문

더보기

해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.