Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription

<div>Visual representation of the chemical space of active compounds (red) and inactive compounds (light green) against hypoxia-induced (a and c) and H<sub>2</sub>O<sub>2</sub>-induced (b and d) neurotoxicity. The visualizations of (a) and (b) were generated using t-distributed stochastic neighbor embedding (t-SNE) based on Morgan fingerprints (4096 bits). The visualizations of (c) and (d) were generated using principal component analysis (PCA) based on Morgan fingerprints (4096 bits).</div>

BioMed Research International

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Figure 2

Figure 2: Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription 

Figure 2 | Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription 