Cheng F - Search Results

1

In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers.

Cai C, Fang J, Guo P, Wang Q, Hong H, Moslehi J, Cheng F. Cai C, et al. Among authors: cheng f. J Chem Inf Model. 2018 May 29;58(5):943-956. doi: 10.1021/acs.jcim.7b00641. Epub 2018 May 10. J Chem Inf Model. 2018. PMID: 29712429 Free PMC article.

2

Classification of cytochrome P450 inhibitors and noninhibitors using combined classifiers.

Cheng F, Yu Y, Shen J, Yang L, Li W, Liu G, Lee PW, Tang Y. Cheng F, et al. J Chem Inf Model. 2011 May 23;51(5):996-1011. doi: 10.1021/ci200028n. Epub 2011 Apr 14. J Chem Inf Model. 2011. PMID: 21491913

3

Adverse drug events: database construction and in silico prediction.

Cheng F, Li W, Wang X, Zhou Y, Wu Z, Shen J, Tang Y. Cheng F, et al. J Chem Inf Model. 2013 Apr 22;53(4):744-52. doi: 10.1021/ci4000079. Epub 2013 Apr 8. J Chem Inf Model. 2013. PMID: 23521697

4

Biomarker-based drug safety assessment in the age of systems pharmacology: from foundational to regulatory science.

Zhang C, Hong H, Mendrick DL, Tang Y, Cheng F. Zhang C, et al. Among authors: cheng f. Biomark Med. 2015;9(11):1241-52. doi: 10.2217/bmm.15.81. Epub 2015 Oct 28. Biomark Med. 2015. PMID: 26506997 Review.

5

Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.

Cheng F, Hong H, Yang S, Wei Y. Cheng F, et al. Brief Bioinform. 2017 Jul 1;18(4):682-697. doi: 10.1093/bib/bbw051. Brief Bioinform. 2017. PMID: 27296652 Review.

6

In silico prediction of chemical mechanism of action via an improved network-based inference method.

Wu Z, Lu W, Wu D, Luo A, Bian H, Li J, Li W, Liu G, Huang J, Cheng F, Tang Y. Wu Z, et al. Among authors: cheng f. Br J Pharmacol. 2016 Dec;173(23):3372-3385. doi: 10.1111/bph.13629. Epub 2016 Nov 1. Br J Pharmacol. 2016. PMID: 27646592 Free PMC article.

7

In silico polypharmacology of natural products.

Fang J, Liu C, Wang Q, Lin P, Cheng F. Fang J, et al. Among authors: cheng f. Brief Bioinform. 2018 Nov 27;19(6):1153-1171. doi: 10.1093/bib/bbx045. Brief Bioinform. 2018. PMID: 28460068 Review.

8

Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interactions of Natural Products Enables New Targeted Cancer Therapy.

Fang J, Wu Z, Cai C, Wang Q, Tang Y, Cheng F. Fang J, et al. Among authors: cheng f. J Chem Inf Model. 2017 Nov 27;57(11):2657-2671. doi: 10.1021/acs.jcim.7b00216. Epub 2017 Oct 13. J Chem Inf Model. 2017. PMID: 28956927 Free PMC article.

9

Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders.

Fang J, Gao L, Ma H, Wu Q, Wu T, Wu J, Wang Q, Cheng F. Fang J, et al. Among authors: cheng f. Front Pharmacol. 2017 Oct 18;8:747. doi: 10.3389/fphar.2017.00747. eCollection 2017. Front Pharmacol. 2017. PMID: 29093681 Free PMC article.

10

Quantitative and systems pharmacology 2. In silico polypharmacology of G protein-coupled receptor ligands via network-based approaches.

Wu Z, Lu W, Yu W, Wang T, Li W, Liu G, Zhang H, Pang X, Huang J, Liu M, Cheng F, Tang Y. Wu Z, et al. Among authors: cheng f. Pharmacol Res. 2018 Mar;129:400-413. doi: 10.1016/j.phrs.2017.11.005. Epub 2017 Nov 10. Pharmacol Res. 2018. PMID: 29133212

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