Metabolomics combined with pattern recognition and bioinformatics analysis methods for the development of pharmacodynamic biomarkers on liver fibrosis-Reference-Cited by-同舟云学术

Metabolomics combined with pattern recognition and bioinformatics analysis methods for the development of pharmacodynamic biomarkers on liver fibrosis

Published:2017 Issue:8 Volume:13 Page:1575-1583
ISSN:1742-206X
Container-title:Molecular BioSystems
language:en
Short-container-title:Mol. BioSyst.

Author:

Fang Junwei¹²³⁴^ORCID,Wang Liping⁵⁶³⁴,Wang Yang¹²³⁴,Qiu Mingfeng⁵⁷⁸⁴,Zhang Yongyu¹²³⁴⁹

Affiliation:

1. Center for Traditional Chinese Medicine and Systems Biology

2. Shanghai University of Traditional Chinese Medicine

3. Shanghai 201203

4. P. R. China

5. School of Pharmacy

6. Fudan University

7. Shanghai Jiao Tong University

8. Shanghai 200240

9. School of Traditional Dai Medicine

Abstract

Metabolomics combined with pattern recognition and network analysis maybe an attractive strategy for the pharmacodynamics biomarkers development on liver fibrosis.

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2017/MB/C7MB00093F

Reference32 articles.

1. Biomarkers: Principles, Policies, and Practice

2. Increased Frequency of ICOS+ CD4 T Cells as a Pharmacodynamic Biomarker for Anti-CTLA-4 Therapy

3. Plasma Metabolomic Changes following PI3K Inhibition as Pharmacodynamic Biomarkers: Preclinical Discovery to Phase I Trial Evaluation

4. Assessment of circulating biomarkers for potential pharmacodynamic utility in patients with lymphoma

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