In silico prediction of chemical mechanism of action via an improved network‐based inference method
British Journal of Pharmacology2016Vol. 173(23), pp. 3372–3385
Citations Over TimeTop 10% of 2016 papers
Zengrui Wu, Weiqiang Lü, Dang Wu, Anqi Luo, Hanping Bian, Jie Li, Weihua Li, Guixia Liu, Jin Huang, Feixiong Cheng, Yun Tang
Abstract
In summary, bSDTNBI would provide a powerful tool for the MoA assessment on both old drugs and novel compounds in drug discovery and development.
Related Papers
- → Drug repurposing: a promising tool to accelerate the drug discovery process(2019)548 cited
- → Repositioning Natural Products in Drug Discovery(2020)46 cited
- → In Silico Drug Design Methods for Drug Repurposing(2019)26 cited
- → CHAPTER 1. In Silico Approaches for Drug Repurposing for SARS-CoV-2 Infection(2022)6 cited
- → Drug repositioning candidates identified using in-silico quasi-quantum molecular simulation demonstrate reduced COVID-19 mortality in 1.5M patient records(2021)1 cited