This article provides a comprehensive analysis for researchers and pharmaceutical developers on how artificial intelligence (AI) is revolutionizing the scientific understanding of Traditional Chinese Medicine (TCM) syndromes.
This article provides a comprehensive examination of Network Target Theory, the core framework of TCM network pharmacology, tailored for researchers and drug development professionals.
This article provides a comprehensive framework for researchers and drug development professionals on applying systems biology to modernize traditional medicine.
This article provides a comprehensive analysis of artificial intelligence (AI) applications in predicting drug-target interactions for herbal medicines.
This article provides a comprehensive synthesis for researchers and drug development professionals on the paradigm of multi-target natural products (MTNPs).
This article provides a comprehensive guide for researchers and drug development professionals on the strategic integration of genome mining and dereplication to accelerate the discovery of novel bioactive natural products.
This article synthesizes the transformative convergence of artificial intelligence (AI) and network pharmacology (NP) in natural product research, a field critical for researchers and drug development professionals.
This article provides a comprehensive comparative analysis of two dominant strategies in natural product and drug discovery: taxonomic-focused dereplication and structure-based approaches.
In-silico fragmentation prediction is a cornerstone of modern non-targeted analysis, enabling researchers to annotate unknown chemicals in complex samples.
This article provides a comprehensive framework for researchers, scientists, and drug development professionals to evaluate and select spectral similarity scoring methods for mass spectrometry-based compound identification.