<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Traditional Chinese Medicine | Feiying Chen</title><link>https://cfy2yue.github.io/tags/traditional-chinese-medicine/</link><atom:link href="https://cfy2yue.github.io/tags/traditional-chinese-medicine/index.xml" rel="self" type="application/rss+xml"/><description>Traditional Chinese Medicine</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 26 Sep 2025 00:00:00 +0000</lastBuildDate><image><url>https://cfy2yue.github.io/media/icon_hu_1c0e9cb08cfb822a.png</url><title>Traditional Chinese Medicine</title><link>https://cfy2yue.github.io/tags/traditional-chinese-medicine/</link></image><item><title>TCM-Navigator: A deep learning workflow for TCM-like compound generation and evaluation</title><link>https://cfy2yue.github.io/publications/tcm-navigator/</link><pubDate>Fri, 26 Sep 2025 00:00:00 +0000</pubDate><guid>https://cfy2yue.github.io/publications/tcm-navigator/</guid><description>&lt;p&gt;&lt;strong&gt;Citation.&lt;/strong&gt; &lt;strong&gt;Feiying Chen&lt;/strong&gt;, Victor Jun Yu Lim, Mingyu Li, and Hao Fan. TCM-Navigator: a deep learning-based workflow for generation and evaluation of traditional Chinese medicine-like compounds for drug development. &lt;em&gt;Briefings in Bioinformatics&lt;/em&gt;, 2025.&lt;/p&gt;
&lt;p&gt;This work connects molecular generation with practical drug-development filters: a TCM-like chemical language model generates large focused libraries, an AttentiveFP-based identifier scores TCM-like characteristics, and physics-based evaluation helps prioritize target-ligand pairs.&lt;/p&gt;</description></item></channel></rss>