Jianxin Chen

Jianxin Chen


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 October 2018 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
YWYang Wu
Yang Wu
FZFeilong Zhang
Feilong Zhang
KYKuo Yang
Kuo Yang
SFShuangsang Fang
Shuangsang Fang
DBDechao Bu
Dechao Bu
JCJianxin Chen
Jianxin Chen
Recently, the pharmaceutical industry has heavily emphasized phenotypic drug discovery (PDD), which relies primarily on knowledge about phenotype changes associated with diseases. Traditional Chinese medicine (TCM) provides a massive amount of information on natural products and the clinical symptoms they are used to treat, which are the observable disease phenotypes that are crucial for clinical diagnosis and treatment. Curating knowledge of TCM symptoms and their relationships to herbs and diseases will provide both candidate leads and screening directions for evidence-based PDD programs. Therefore, we present SymMap, an integrative database of traditional Chinese medicine enhanced by symptom mapping. We manually curated 1717 TCM symptoms and related them to 499 herbs and 961 symptoms used in modern medicine based on a committee of 17 leading experts practicing TCM. Next, we collected 5235 diseases associated with these symptoms, 19 595 herbal constituents (ingredients) and 4302 target genes, and built a large heterogeneous network containing all of these components. Thus, SymMap integrates TCM with modern medicine in common aspects at both the phenotypic and molecular levels. Furthermore, we inferred all pairwise relationships among SymMap components using statistical tests to give pharmaceutical scientists the ability to rank and filter promising results to guide drug discovery. The SymMap database can be accessed at http://www.symmap.org/ and https://www.bioinfo.org/symmap.

1 January 2017 in Oxidative Medicine and Cellular Longevity
Verified
Journal Article
Open access
PDF file
GMGhulam Murtaza
Ghulam Murtaza
AKAbida Kalsoom Khan
Abida Kalsoom Khan
RRRehana Rashid
Rehana Rashid
SAIQA MUNEERSAIQA MUNEER
SAIQA MUNEER
SHSyed Muhammad Farid Hasan
Syed Muhammad Farid Hasan
JCJianxin Chen
Jianxin Chen
Several pathologies such as neurodegeneration and cancer are associated with aging, which is affected by many genetic and environmental factors. Healthy aging conceives human longevity, possibly due to carrying the defensive genes. For instance, FOXO (forkhead box O) genes determine human longevity. FOXO transcription factors are involved in the regulation of longevity phenomenon via insulin and insulin‐like growth factor signaling. Only one FOXO gene (FOXO DAF‐16) exists in invertebrates, while four FOXO genes, that is, FOXO1, FOXO3, FOXO4, and FOXO6 are found in mammals. These four transcription factors are involved in the multiple cellular pathways, which regulate growth, stress resistance, metabolism, cellular differentiation, and apoptosis in mammals. However, the accurate mode of longevity by FOXO factors is unclear until now. This article describes briefly the existing knowledge that is related to the role of FOXO factors in human longevity.

1 January 2020 in Computational and Structural Biotechnology Journal
Verified
Journal Article
Open access
XWXu Wang
Xu Wang
JLJingwei Liu
Jingwei Liu
CWChaoyong Wu
Chaoyong Wu
JLJunhong Liu
Junhong Liu
QLQianqian Li
Qianqian Li
JCJianxin Chen
Jianxin Chen
• Large datasets for tooth-marked tongue recognition are constructed. • The deep CNN in artificial intelligence gain classification accuracy over 90%. • The models can be successfully generalized to images with different illuminations. • Isolation of the tongue region can enhance tongue diagnosis performance.

1 June 2019 in Pharmacological Research
Verified
Journal Article
Closed access
GTGuihua Tian
Guihua Tian
CWChuanhong Wu
Chuanhong Wu
JLJian Li
Jian Li
BLBilin Liang
Bilin Liang
FZFeilong Zhang
Feilong Zhang
JCJianxin Chen
Jianxin Chen

1 April 2018 in Pharmacological Research
Verified
Journal Article
Closed access
KGKuo Gao
Kuo Gao
RYRan Yang
Ran Yang
JZJian Zhang
Jian Zhang
ZWZhiyong Wang
Zhiyong Wang
CJCaixia Jia
Caixia Jia
JCJianxin Chen
Jianxin Chen

18 August 2017 in Molecules
Verified
Journal Article
Open access
PDF file
AWAwais Wahab
Awais Wahab
KGKuo Gao
Kuo Gao
CJCaixia Jia
Caixia Jia
ZFZhang Feilong
Zhang Feilong
GTGuihua Tian
Guihua Tian
JCJianxin Chen
Jianxin Chen
Resveratrol could be beneficial to health and provides protection against a wide array of pathologies and age-associated problems, as evident from preclinical studies. However, a comparison of animal and human studies reveals that this dietary polyphenol cannot protect against metabolic diseases and their associated complications. The clinical outcomes are affected by many factors such as sample size. This article not only presents a comprehensive review of the current advances concerning the dose, the extent of absorption, interaction and toxicity of resveratrol in human studies, but also describes its therapeutic effects against several chronic diseases such as diabetes mellitus, obesity, cardiovascular diseases, cancer and aging and the related diseases.