Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2012.01736/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTDesigning a Prospective COVID-19 Therapeutic with Reinforcement Learning — mentioned by nonplussedUltrahttps://news.ycombinator.com/item?id=25342631urn:hackerpapers:mention:2012.01736:25342631Tue, 08 Dec 2020 06:53:04 GMT<p>Marcin at InstaDeep here, I am one of the people behind DeepChain, and very eager to answer all questions. I am glad to see you noticed our work on protein design for Covid (https://arxiv.org/abs/2012.01736), that is currently presented at NeurIPS. It has been a lot of hard work, but we think it turned out well. You are partially right - the coronavirus work we did earlier this year to a large extent influenced DeepChain development, but - despite overlapping quite a bit - both have slightly different focus. The work you refer to was very result driven, aiming at providing the best result…</p><p><a href="https://hackerpaper.kaipfister.de/p/2012.01736/">Paper and discussion history</a>. A mention is not an endorsement.</p>q-bio.BM