<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>AI for Drug Discovery - Tag - Xiaopeng Xu</title><link>https://xu-xp.com/tags/ai-for-drug-discovery/</link><description>AI for Drug Discovery - Tag - Xiaopeng Xu</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>xiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)</managingEditor><webMaster>xiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)</webMaster><lastBuildDate>Sat, 06 Nov 2021 00:00:00 +0000</lastBuildDate><atom:link href="https://xu-xp.com/tags/ai-for-drug-discovery/" rel="self" type="application/rss+xml"/><item><title>AI 在药物研发中的应用（讲座）</title><link>https://xu-xp.com/posts/ai_in_drugs_lecture/</link><pubDate>Sat, 06 Nov 2021 00:00:00 +0000</pubDate><author>xiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)</author><guid>https://xu-xp.com/posts/ai_in_drugs_lecture/</guid><description>&lt;h2 id="总结">总结&lt;/h2>
&lt;p>这个讲座，对于系统认识 AI 药物设计领域非常有帮助。核心的流程包括：生成、活性评估+RL、成药性筛选+RL、合成、测试、反馈。其中，生成用 AI model，评估用物理模型+AI，合成可以通过计算 retro-syntehsis path 来实现，测试用 AI 实验室，反馈是对实验结果做分析。&lt;/p></description></item><item><title>AI 在药物研发中的应用</title><link>https://xu-xp.com/posts/ai_in_drugs/</link><pubDate>Thu, 15 Apr 2021 00:00:00 +0000</pubDate><author>xiaopeng.xu@kaust.edu.sa (Xiaopeng Xu)</author><guid>https://xu-xp.com/posts/ai_in_drugs/</guid><description><![CDATA[<h2 id="response-to-ai-has-dispointed-on-covid">Response to: AI has dispointed on Covid</h2>
<p>Geeks piled in when the pandemic broke but great promise has not been fulfilled.</p>
<h3 id="need">Need:</h3>
<ul>
<li>Data &amp; Method</li>
</ul>
<h3 id="result">Result</h3>
<ul>
<li>
<p>CS: ChEMBL</p>
</li>
<li>
<p>Wet lab: Examining the data from the ChEMBL SARS-CoV-2 drug repurposing screens</p>
</li>
</ul>
<h3 id="sources-of-data-instrumental-to-the-development-of-ml-algorithms">Sources of data: Instrumental to the development of ML algorithms</h3>
<ul>
<li>
<p>Frank et al., In vitro screening of a FDA approved chemical library reveals potial inhibitors of SARS-CoV-2 replication</p>
</li>
<li>
<p>Tesia et al., Discovery of synergistic and antagonistic drug combinations against SARS-CoV-2 in vitro</p>]]></description></item></channel></rss>