<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1903.11789/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1903.11789/feed.xml" rel="self" type="application/rss+xml" /><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=25279518</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:25279518</guid><pubDate>Wed, 02 Dec 2020 18:23:54 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | Burlingame, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech start-up, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. Looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required. We all learn from each other here. - Recently announced a multi-target drug discovery partnership with Genentech: https://www.businesswire.com/news/home/20201019005182/en/Gen...…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=24975289</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:24975289</guid><pubDate>Tue, 03 Nov 2020 01:06:10 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | Burlingame, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech start-up, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. Looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required. We all learn from each other here. - Just announced a multi-target drug discovery partnership with Genentech: https://www.businesswire.com/news/home/20201019005182/en/Gen... - We…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=24347274</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:24347274</guid><pubDate>Tue, 01 Sep 2020 21:26:28 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | Burlingame, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech start-up, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. Looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required. We all learn from each other here. - We currently have a small team of excellent AI + software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=24039777</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:24039777</guid><pubDate>Mon, 03 Aug 2020 16:25:54 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | Burlingame, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech start-up, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. Looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required. We all learn from each other here. - We currently have a small team of excellent AI + software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=23706343</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:23706343</guid><pubDate>Wed, 01 Jul 2020 20:39:30 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | Burlingame, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech start-up, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. Looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required. We all learn from each other here. - We currently have a small team of excellent software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook, Google…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=23382581</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:23382581</guid><pubDate>Mon, 01 Jun 2020 19:22:56 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | South San Francisco, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech start-up, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. Looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required. We all learn from each other here. - We currently have a small team of excellent software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=23045963</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:23045963</guid><pubDate>Fri, 01 May 2020 20:02:34 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | South San Francisco, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech start-up, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. Looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required. We all learn from each other here. - We currently have a small team of excellent software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by GenesisTx</title><link>https://news.ycombinator.com/item?id=22900833</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:22900833</guid><pubDate>Fri, 17 Apr 2020 17:08:35 GMT</pubDate><description>&lt;p&gt;This post is nicely written. We are from the Pande Lab @ Stanford and are very supportive of this work being done by Barzilay et al at MIT. We cite each others&amp;#x27; papers for good reason. If this type of research interests anyone here, Genesis Therapeutics -- Stanford spinout and a16z-backed -- is hiring! Here is our HN &amp;quot;who&amp;#x27;s hiring?&amp;quot; post. Join us in using deep learning to discover medicines for patients suffering from devastating diseases. Genesis Therapeutics | South San Francisco, CA | Onsite | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech company, developing…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=22752188</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:22752188</guid><pubDate>Wed, 01 Apr 2020 18:46:15 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | South San Francisco, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech start-up, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. Looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required. We all learn from each other here. - We currently have a small team of excellent software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=22666537</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:22666537</guid><pubDate>Mon, 23 Mar 2020 17:41:57 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | South San Francisco, CA | Onsite (Flexible WFH) | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech company, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. Looking for great software engineers and ML researchers with an interest in drug discovery -- no biology or chemistry experience required. We all learn from each other here. - We currently have a small team of excellent software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=22467930</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:22467930</guid><pubDate>Mon, 02 Mar 2020 19:32:37 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | South San Francisco, CA | Onsite | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech company, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. - Small team of excellent software engineers: graduates from Stanford, UC Berkeley, MIT. Previously worked at Facebook, Google, Memsql, Jane Street - Core deep learning tech was invented by co-founder + CEO Evan Feinberg during his PhD at Stanford’s Pande lab (the lab that did Folding@Home). See the peer-reviewed PotentialNet…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=22229775</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:22229775</guid><pubDate>Mon, 03 Feb 2020 22:06:33 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | South San Francisco, CA | Onsite | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech company, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. - Core deep learning tech was invented by co-founder + CEO Evan Feinberg during his PhD at Stanford’s Pande lab (the lab that did Folding@Home). See the peer-reviewed PotentialNet paper: https://pubs.acs.org/doi/10.1021/acscentsci.8b00507 - Recently raised a $4.1m seed round led by Andreessen Horowitz - Our platform was…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=21939773</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:21939773</guid><pubDate>Thu, 02 Jan 2020 21:01:18 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | South San Francisco, CA | Onsite | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech company, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. - Core deep learning tech was invented by co-founder + CEO Evan Feinberg during his PhD at Stanford’s Pande lab (the lab that did Folding@Home). See the peer-reviewed PotentialNet paper: https://pubs.acs.org/doi/10.1021/acscentsci.8b00507 - Recently raised a $4.1m seed round led by Andreessen Horowitz - Our platform was…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization — mentioned by salt-licker</title><link>https://news.ycombinator.com/item?id=21685218</link><guid isPermaLink="false">urn:hackerpapers:mention:1903.11789:21685218</guid><pubDate>Mon, 02 Dec 2019 18:29:36 GMT</pubDate><description>&lt;p&gt;Genesis Therapeutics | South San Francisco, CA | Onsite | Full-time | https://www.genesistherapeutics.ai We’re a hybrid AI + biotech company, developing novel neural networks to predict molecular properties and using them to accelerate the development of new medicines. - Core deep learning tech was invented by co-founder + CEO Evan Feinberg during his PhD at Stanford’s acclaimed Pande lab (the lab that did Folding@Home). See the peer-reviewed PotentialNet paper: https://pubs.acs.org/doi/10.1021/acscentsci.8b00507 - Recently raised a $4.1m seed round led by Andreessen Horowitz - Our platform…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1903.11789/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
