Xue Xu

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.

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.

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".

TL;DR: This work reports a systematic approach that efficiently integrates the chemical, genomic, and pharmacological information for drug targeting and discovery on a large scale, based on two powerful methods of Random Forest and Support Vector Machine, and demonstrates the reliability and robustness of the obtained models.

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.