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Yan Li

Researcher at Dalian University of Technology

Publications -  129
Citations -  5445

Yan Li is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Docking (molecular) & Quantitative structure–activity relationship. The author has an hindex of 24, co-authored 102 publications receiving 3533 citations. Previous affiliations of Yan Li include Dalian Institute of Chemical Physics & Shihezi University.

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TCMSP: a database of systems pharmacology for drug discovery from herbal medicines.

TL;DR: The particular strengths of TCMSP are the composition of the large number of herbal entries, and the ability to identify drug-target networks and drug-disease networks, which will help revealing the mechanisms of action of Chinese herbs, uncovering the nature ofTCM theory and developing new herb-oriented drugs.
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A novel chemometric method for the prediction of human oral bioavailability.

TL;DR: This study indicates that the MLR, PLS and SVR-based in silico models have good potential in facilitating the prediction of oral bioavailability and can be applied in future drug design.
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Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease.

TL;DR: The mechanism of efficiency of Radix Curcumae formula for the prevention of CCVD is explained, and the potential targets of the Chinese medicines are predicted, which facilitates to elucidate the compatible mechanism of the complex prescription, i.e., "jun-chen-zuo-shi".
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Systems pharmacology in drug discovery and therapeutic insight for herbal medicines

TL;DR: The aim of the present work is to highlight the role that the systems pharmacology plays across the traditional herbal medicines discipline, which is exemplified by a case study of botanical drugs applied in the treatment of depression.
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A system-level investigation into the mechanisms of Chinese Traditional Medicine: Compound Danshen Formula for cardiovascular disease treatment.

TL;DR: This study performed a high-throughput in silico screen and obtained a group of compounds from CDF which possess desirable pharmacodynamical and pharmacological characteristics, and proposed a strategy to develop novel TCM candidates at a network pharmacology level.