<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.4">Jekyll</generator><link href="https://chem-bla-ics.linkedchemistry.info/feed/by_tag/natprod.xml" rel="self" type="application/atom+xml" /><link href="https://chem-bla-ics.linkedchemistry.info/" rel="alternate" type="text/html" /><updated>2026-06-15T12:00:19+00:00</updated><id>https://chem-bla-ics.linkedchemistry.info/feed/by_tag/natprod.xml</id><title type="html">chem-bla-ics</title><subtitle>Chemblaics (pronounced chem-bla-ics) is the science that uses open science and computers to solve problems in chemistry, biochemistry and related fields.</subtitle><author><name>Egon Willighagen</name></author><entry><title type="html">Artificial intelligence for natural product drug discovery</title><link href="https://chem-bla-ics.linkedchemistry.info/2023/09/24/ai.html" rel="alternate" type="text/html" title="Artificial intelligence for natural product drug discovery" /><published>2023-09-24T00:00:00+00:00</published><updated>2023-09-24T00:00:00+00:00</updated><id>https://chem-bla-ics.linkedchemistry.info/2023/09/24/ai</id><content type="html" xml:base="https://chem-bla-ics.linkedchemistry.info/2023/09/24/ai.html"><![CDATA[<p>Two weeks ago the write up of a week-long scientific discussions around artificial intelligence for natural product drug discovery
in Leiden at the <a href="https://www.lorentzcenter.nl/">Lorentz Center</a> got published
(doi:<a href="https://doi.org/10.1038/s41573-023-00774-7">10.1038/s41573-023-00774-7</a>, <a href="https://cris.maastrichtuniversity.nl/en/publications/artificial-intelligence-for-natural-product-drug-discovery">free PDF</a>).</p>

<p><img src="/assets/images/ai.png" alt="Part of the copyrighted Figure 1 from the article. I hope this counts as fair use." /></p>

<p>Sadly, the meetings was still during the (partial) lockdown, and I think my contribution could have been
more extensive. But I am happy I got to pitch the idea of using Wikidata in this area too, taking advantage
of the work done by the LOTUS (doi:<a href="https://doi.org/10.7554/eLife.70780">10.7554/eLife.70780</a>) team earlier.</p>

<p>And this is key to me: you cannot do statistics, chemometrics, machine learning, or artificial
intelligence without good quality linked data. Happy reading!</p>]]></content><author><name>Egon Willighagen</name></author><category term="cheminf" /><category term="natprod" /><category term="doi:10.1038/s41573-023-00774-7" /><category term="doi:10.7554/eLife.70780" /><summary type="html"><![CDATA[Two weeks ago the write up of a week-long scientific discussions around artificial intelligence for natural product drug discovery in Leiden at the Lorentz Center got published (doi:10.1038/s41573-023-00774-7, free PDF).]]></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://chem-bla-ics.linkedchemistry.info/assets/images/ai.png" /><media:content medium="image" url="https://chem-bla-ics.linkedchemistry.info/assets/images/ai.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry></feed>