AIMC Topic: Network Pharmacology

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Deep learning-based network pharmacology for exploring the mechanism of licorice for the treatment of COVID-19.

Scientific reports
Licorice, a traditional Chinese medicine, has been widely used for the treatment of COVID-19, but all active compounds and corresponding targets are still not clear. Therefore, this study proposed a deep learning-based network pharmacology approach t...

Feedback-AVPGAN: Feedback-guided generative adversarial network for generating antiviral peptides.

Journal of bioinformatics and computational biology
In this study, we propose , a system that aims to computationally generate novel antiviral peptides (AVPs). This system relies on the key premise of the Generative Adversarial Network (GAN) model and the Feedback method. GAN, a generative modeling ap...

FordNet: Recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule.

Pharmacological research
Traditional Chinese medicine (TCM) formula is widely used for thousands of years in clinical practice. With the development of artificial intelligence, deep learning models may help doctors prescribe reasonable formulas. Meanwhile, current studies of...

Integrating network pharmacology and experimental validation to advance psoriasis treatment: Multi-target mechanistic elucidation of medicinal herbs and natural compounds.

Autoimmunity reviews
BACKGROUND: Psoriasis, a chronic immune-mediated inflammatory disease (IMID), presents significant therapeutic challenges, necessitating exploration of alternative treatments like medicinal herbs (MH) and natural compounds (NC). Network pharmacology ...

Exploration of Active Substances and Its Potential Mechanism of Gancao Fuzi Decoction on Inflammatory Based on Metabolomics and Network Pharmacology.

Rapid communications in mass spectrometry : RCM
Gancao Fuzi decoction (GCFZT) is a traditional Chinese formula, which has been commonly used in clinical practice to treat inflammatory diseases. However, the active substance of GCFZT in the treatment of inflammation is not fully clarified. In this ...

Study on the mechanism of action of the active ingredient of Calculus Bovis in the treatment of sepsis by integrating single-cell sequencing and machine learning.

Medicine
BACKGROUND: Sepsis, a complex inflammatory condition with high mortality rates, lacks effective treatments. This study explores the therapeutic mechanisms of Calculus Bovis in sepsis using network pharmacology and RNA sequencing.