Tang J - Search Results

1

Target inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathways.

Tang J, Karhinen L, Xu T, Szwajda A, Yadav B, Wennerberg K, Aittokallio T. Tang J, et al. PLoS Comput Biol. 2013;9(9):e1003226. doi: 10.1371/journal.pcbi.1003226. Epub 2013 Sep 12. PLoS Comput Biol. 2013. PMID: 24068907 Free PMC article.

2

Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles.

Tang J, Aittokallio T. Tang J, et al. Curr Pharm Des. 2014;20(1):23-36. doi: 10.2174/13816128113199990470. Curr Pharm Des. 2014. PMID: 23530504 Free PMC article. Review.

3

Making sense of large-scale kinase inhibitor bioactivity data sets: a comparative and integrative analysis.

Tang J, Szwajda A, Shakyawar S, Xu T, Hintsanen P, Wennerberg K, Aittokallio T. Tang J, et al. J Chem Inf Model. 2014 Mar 24;54(3):735-43. doi: 10.1021/ci400709d. Epub 2014 Feb 21. J Chem Inf Model. 2014. PMID: 24521231

4

Toward more realistic drug-target interaction predictions.

Pahikkala T, Airola A, Pietilä S, Shakyawar S, Szwajda A, Tang J, Aittokallio T. Pahikkala T, et al. Among authors: tang j. Brief Bioinform. 2015 Mar;16(2):325-37. doi: 10.1093/bib/bbu010. Epub 2014 Apr 9. Brief Bioinform. 2015. PMID: 24723570 Free PMC article.

5

TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples.

He L, Wennerberg K, Aittokallio T, Tang J. He L, et al. Among authors: tang j. Bioinformatics. 2015 Jun 1;31(11):1866-8. doi: 10.1093/bioinformatics/btv067. Epub 2015 Jan 31. Bioinformatics. 2015. PMID: 25638808 Free PMC article.

6

Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products.

Kibble M, Saarinen N, Tang J, Wennerberg K, Mäkelä S, Aittokallio T. Kibble M, et al. Among authors: tang j. Nat Prod Rep. 2015 Aug;32(8):1249-66. doi: 10.1039/c5np00005j. Nat Prod Rep. 2015. PMID: 26030402 Review.

7

Systematic Mapping of Kinase Addiction Combinations in Breast Cancer Cells by Integrating Drug Sensitivity and Selectivity Profiles.

Szwajda A, Gautam P, Karhinen L, Jha SK, Saarela J, Shakyawar S, Turunen L, Yadav B, Tang J, Wennerberg K, Aittokallio T. Szwajda A, et al. Among authors: tang j. Chem Biol. 2015 Aug 20;22(8):1144-55. doi: 10.1016/j.chembiol.2015.06.021. Epub 2015 Jul 23. Chem Biol. 2015. PMID: 26211361

8

What is synergy? The Saariselkä agreement revisited.

Tang J, Wennerberg K, Aittokallio T. Tang J, et al. Front Pharmacol. 2015 Sep 1;6:181. doi: 10.3389/fphar.2015.00181. eCollection 2015. Front Pharmacol. 2015. PMID: 26388771 Free PMC article. Review.

9

From drug response profiling to target addiction scoring in cancer cell models.

Yadav B, Gopalacharyulu P, Pemovska T, Khan SA, Szwajda A, Tang J, Wennerberg K, Aittokallio T. Yadav B, et al. Among authors: tang j. Dis Model Mech. 2015 Oct 1;8(10):1255-64. doi: 10.1242/dmm.021105. Dis Model Mech. 2015. PMID: 26438695 Free PMC article.

10

Searching for Drug Synergy in Complex Dose-Response Landscapes Using an Interaction Potency Model.

Yadav B, Wennerberg K, Aittokallio T, Tang J. Yadav B, et al. Among authors: tang j. Comput Struct Biotechnol J. 2015 Sep 25;13:504-13. doi: 10.1016/j.csbj.2015.09.001. eCollection 2015. Comput Struct Biotechnol J. 2015. PMID: 26949479 Free PMC article.

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