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Patrick Walters proslijedio/la je Tweet
Cool paper on protein interaction fingerprinting with geometric deep learninghttps://www.nature.com/articles/s41592-019-0666-6 …
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Our comment on recent reports of AI in drug discovery, and the response, are now available as Open Access. Thanks
@NatureBiotech https://www.nature.com/articles/s41587-020-0418-2 …https://www.nature.com/articles/s41587-020-0417-3 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Patrick Walters proslijedio/la je Tweet
We are pleased to announce our expansion into genetic diseases and the appointment of Jamie Nichols, Ph.D. as Head of Genetic Diseases. Jamie brings to
@Relay_Tx more than 20 years of experience as a biotech entrepreneur and operating executive. https://relaytx.com/wp-content/uploads/2020/02/February-4-2020.pdf …#biotechpic.twitter.com/xPSlHpnFjW
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Patrick Walters proslijedio/la je Tweet
Stellar thread on
#Coronavirus preprints. Every day I'm more certain that@biorxiv +@twitter is the future of life science communication.https://twitter.com/HorsingJig/status/1224343541268320264 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Patrick Walters proslijedio/la je Tweet
Got protein-ligand datasets? BindingDB now has over 1200 downloadable validation sets, each with a protein, at least one cocrystal structure, and a set of additional ligands forming a congeneric series, all with measured binding data. https://www.bindingdb.org/validation_sets/index.jsp …pic.twitter.com/QIxdr8hDsw
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Patrick Walters proslijedio/la je Tweet
Save the date: the 2020 RDKit UGM is 6-8 October in Berlin, Germany. More details and registration info coming in a month or so.
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Patrick Walters proslijedio/la je Tweet
Assessing the impact of generative AI on medicinal chemistry https://go.nature.com/2OcFZGh pic.twitter.com/HpZVSF98pZ
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
LinkedIn requests should be accompanied by a disclosure stating whether an individual is going to try to sell me something
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Patrick Walters proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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A very useful method, with code! Thanks, Peterhttps://twitter.com/peter_ertl/status/1222159744829480960 …
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Patrick Walters proslijedio/la je Tweet
"Craig plot 2.0: an interactive navigation in the substituent bioisosteric space" appeared in J. Cheminformatics https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-0412-1 … you can play with the web tool here: http://bit.ly/craigplot pic.twitter.com/reljca3M9L
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A very cool and useful blog from the team at Reverie.https://twitter.com/GuptaAnkitV/status/1220763258094866435 …
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Patrick Walters proslijedio/la je Tweet
Reverie is launching an engineering blog where we are sharing some of the tools and methods we use to power our therapeutics programs. Check it out and let me know what you think!http://blog.reverielabs.com
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New blog post, with a bit of unsolicited advice for job seekers. “How (Not) to Get a Job in Science” https://practicalcheminformatics.blogspot.com/2020/01/how-to-not-get-job-in-science.html …
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Patrick Walters proslijedio/la je Tweet
After a careful deliberation process, we have accepted 80 posters to present at the MIT AIDM Conference. If you are interested in seeing a sneak peek of the posters before the conference, you can review them here: https://www.aidm.mit.edu/posters pic.twitter.com/TDOzNmONz0
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Look what showed up in the mail today. A framed copy of the Deep Learning for the Life Sciences cover. Thanks,
@OReillyMedia!pic.twitter.com/1YWixM5XKP
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Passionate about using machine learning to design drugs? Join us at Relay Therapeutics!https://jobs.lever.co/relaytx/15cfe060-c534-4c99-9489-5c54377c6e44 …
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Patrick Walters proslijedio/la je Tweet
How to learn Machine Learning in 2020 1. Pick a real-world problem to solve 2. Go to http://www.paperswithcode.com 3. Find & read a related paper 4. Experiment with the code 5. Find explainer content for any new concepts you find 6. Develop & share your project for feedback 7. Repeat
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