Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug–Target Interactions of Natural Products Enables New Targeted Cancer Therapy-Reference-Cited by-同舟云学术

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

Published:2017-10-13 Issue:11 Volume:57 Page:2657-2671
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Fang Jiansong¹^ORCID,Wu Zengrui²,Cai Chuipu¹,Wang Qi¹,Tang Yun²^ORCID,Cheng Feixiong³⁴^ORCID

Affiliation:

1. Institute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, 12 Jichang Road, Guangzhou 510405, China

2. Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China

3. Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02215, United States

4. Center for Complex Networks Research (CCNR), Northeastern University, Boston, Massachusetts 02115, United States

Funder

Ministry of Science and Technology of the People's Republic of China

National Heart, Lung, and Blood Institute

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.7b00216

Reference73 articles.

1. Underexplored Opportunities for Natural Products in Drug Discovery

2. The re-emergence of natural products for drug discovery in the genomics era

3. Drug Discovery and Natural Products: End of an Era or an Endless Frontier?

4. Systems Pharmacology-Based Discovery of Natural Products for Precision Oncology Through Targeting Cancer Mutated Genes

5. Counting on natural products for drug design

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