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For: Dorel M, Barillot E, Zinovyev A, Kuperstein I. Network-based approaches for drug response prediction and targeted therapy development in cancer. Biochem Biophys Res Commun 2015;464:386-91. [PMID: 26086105 DOI: 10.1016/j.bbrc.2015.06.094] [Cited by in Crossref: 26] [Cited by in F6Publishing: 18] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Chang JW, Ding Y, Tahir Ul Qamar M, Shen Y, Gao J, Chen LL. A deep learning model based on sparse auto-encoder for prioritizing cancer-related genes and drug target combinations. Carcinogenesis 2019;40:624-32. [PMID: 30944926 DOI: 10.1093/carcin/bgz044] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 2.5] [Reference Citation Analysis]
2 Roukos DH. Crossroad between linear and nonlinear transcription concepts in the discovery of next-generation sequencing systems-based anticancer therapies. Drug Discov Today 2016;21:663-73. [PMID: 26912452 DOI: 10.1016/j.drudis.2016.02.008] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 2.7] [Reference Citation Analysis]
3 Melge AR, Manzoor K, Nair SV, Mohan CG. In Silico Modeling of FDA-Approved Drugs for Discovery of Anti-Cancer Agents: A Drug-Repurposing Approach. In Silico Drug Design. Elsevier; 2019. pp. 577-608. [DOI: 10.1016/b978-0-12-816125-8.00019-5] [Cited by in Crossref: 3] [Article Influence: 1.0] [Reference Citation Analysis]
4 Dorel M, Viara E, Barillot E, Zinovyev A, Kuperstein I. NaviCom: a web application to create interactive molecular network portraits using multi-level omics data. Database (Oxford) 2017;2017. [PMID: 28415074 DOI: 10.1093/database/bax026] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 2.2] [Reference Citation Analysis]
5 He B, Hou F, Ren C, Bing P, Xiao X. A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds. Front Oncol 2021;11:711225. [PMID: 34367996 DOI: 10.3389/fonc.2021.711225] [Reference Citation Analysis]
6 Jackson RA, Chen ES. Synthetic lethal approaches for assessing combinatorial efficacy of chemotherapeutic drugs. Pharmacology & Therapeutics 2016;162:69-85. [DOI: 10.1016/j.pharmthera.2016.01.014] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 3.0] [Reference Citation Analysis]
7 Talevi A. Drug repositioning: current approaches and their implications in the precision medicine era. Expert Review of Precision Medicine and Drug Development 2018;3:49-61. [DOI: 10.1080/23808993.2018.1424535] [Cited by in Crossref: 25] [Cited by in F6Publishing: 7] [Article Influence: 6.3] [Reference Citation Analysis]
8 Levesque BG, Ghosh S. Targeting Integrins and Safety in an Emerging Class of Targeted Oral Therapies: Are We Prepared for Rational and Precision Choices? Gastroenterology 2015;149:1669-72. [DOI: 10.1053/j.gastro.2015.10.026] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.4] [Reference Citation Analysis]
9 Monraz Gomez LC, Kondratova M, Ravel J, Barillot E, Zinovyev A, Kuperstein I. Application of Atlas of Cancer Signalling Network in preclinical studies. Briefings in Bioinformatics 2019;20:701-16. [DOI: 10.1093/bib/bby031] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
10 Kondratova M, Sompairac N, Barillot E, Zinovyev A, Kuperstein I. Signalling maps in cancer research: construction and data analysis. Database (Oxford) 2018;2018. [PMID: 29688383 DOI: 10.1093/database/bay036] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
11 Kiani NA, Shang MM, Zenil H, Tegner J. Predictive Systems Toxicology. Methods Mol Biol 2018;1800:535-57. [PMID: 29934910 DOI: 10.1007/978-1-4939-7899-1_25] [Cited by in Crossref: 2] [Article Influence: 0.5] [Reference Citation Analysis]
12 Lefranc F, Koutsaviti A, Ioannou E, Kornienko A, Roussis V, Kiss R, Newman D. Algae metabolites: from in vitro growth inhibitory effects to promising anticancer activity. Nat Prod Rep 2019;36:810-41. [PMID: 30556575 DOI: 10.1039/c8np00057c] [Cited by in Crossref: 13] [Cited by in F6Publishing: 8] [Article Influence: 4.3] [Reference Citation Analysis]
13 Roukos DH. Spatiotemporal diversification of intrapatient genomic clones and early drug development concepts realize the roadmap of precision cancer medicine. Drug Discov Today 2017;22:1148-64. [PMID: 28400153 DOI: 10.1016/j.drudis.2017.03.014] [Cited by in Crossref: 27] [Cited by in F6Publishing: 26] [Article Influence: 5.4] [Reference Citation Analysis]
14 Sun X, Hu B. Mathematical modeling and computational prediction of cancer drug resistance. Brief Bioinform 2018;19:1382-99. [PMID: 28981626 DOI: 10.1093/bib/bbx065] [Cited by in Crossref: 40] [Cited by in F6Publishing: 27] [Article Influence: 13.3] [Reference Citation Analysis]
15 Mazein A, Ostaszewski M, Kuperstein I, Watterson S, Le Novère N, Lefaudeux D, De Meulder B, Pellet J, Balaur I, Saqi M, Nogueira MM, He F, Parton A, Lemonnier N, Gawron P, Gebel S, Hainaut P, Ollert M, Dogrusoz U, Barillot E, Zinovyev A, Schneider R, Balling R, Auffray C. Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms. NPJ Syst Biol Appl 2018;4:21. [PMID: 29872544 DOI: 10.1038/s41540-018-0059-y] [Cited by in Crossref: 42] [Cited by in F6Publishing: 29] [Article Influence: 10.5] [Reference Citation Analysis]
16 Kondratova M, Czerwinska U, Sompairac N, Amigorena SD, Soumelis V, Barillot E, Zinovyev A, Kuperstein I. A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures. Nat Commun 2019;10:4808. [PMID: 31641119 DOI: 10.1038/s41467-019-12270-x] [Cited by in Crossref: 18] [Cited by in F6Publishing: 15] [Article Influence: 6.0] [Reference Citation Analysis]
17 Ostaszewski M, Gebel S, Kuperstein I, Mazein A, Zinovyev A, Dogrusoz U, Hasenauer J, Fleming RMT, Le Novère N, Gawron P, Ligon T, Niarakis A, Nickerson D, Weindl D, Balling R, Barillot E, Auffray C, Schneider R. Community-driven roadmap for integrated disease maps. Brief Bioinform 2019;20:659-70. [PMID: 29688273 DOI: 10.1093/bib/bby024] [Cited by in Crossref: 26] [Cited by in F6Publishing: 20] [Article Influence: 13.0] [Reference Citation Analysis]
18 Vanhaelen Q, Mamoshina P, Aliper AM, Artemov A, Lezhnina K, Ozerov I, Labat I, Zhavoronkov A. Design of efficient computational workflows for in silico drug repurposing. Drug Discov Today 2017;22:210-22. [PMID: 27693712 DOI: 10.1016/j.drudis.2016.09.019] [Cited by in Crossref: 81] [Cited by in F6Publishing: 63] [Article Influence: 13.5] [Reference Citation Analysis]