André Levy,
When A.I. Becomes…
When A.I. Becomes…
최근에 'AI로 신약개발' 등의 뉴스가 많이 나온 적이 있습니다. generative AI 를 이용하여 기존에 없던 새로운 화합물을 빨리 찾았다 이러한 논문들도 나왔고...일부는 이런 논문을 가지고 '의약화학계의 알파고' 같은 이야…
Next level!
Nature Biotechnology
A Nature Biotechnology paper describes a machine learning model that allows for the identification of new small-molecule kinase…
In case you are having a hard time finding the original article of Alex Zhavoronkov in Nature Biotechnology, here you go: https:…
A Nature Biotechnology paper describes a machine learning model that allows for the identification of new small-molecule kinase…
A #molecule designed by #AI exhibits 'druglike' qualities: https://go.nature.com/2lXaoND
A machine learning model allows the identification of new small-molecule kinase inhibitors in days.
A game-changing paper in generative chemistry: https://www.nature.com/articles/s41587-019-0224-x
https://www.facebook.com/1457783694495641/posts/2387552528185415/
A machine learning model allows the identification of new small-molecule kinase inhibitors in days.
Hot news in AI for drug discovery: Deep learning enables rapid identification of potent DDR1 kinase…
Hot news in AI for drug discovery: Deep learning enables rapid identification of potent DDR1 kinase…
Hot news in AI for drug discovery: Deep learning enables rapid identification of potent DDR1 kinase…
Hot news in AI for drug discovery: Deep learning enables rapid identification of potent DDR1 kinase…
New in Nature Biotechnology:
Congrats to Buck adjunct professor Dr. Alex Zhavoronkov (Biogerontology) on his group's new paper in Nature biotech https://www.n…
A machine learning model allows the identification of new small-molecule kinase inhibitors in days.
Traditional drug discovery starts with the testing of thousands of small molecules in order to get to just a few lead-like…
A good example of using AI for drug discovery... https://www.nature.com/articles/s41587-019-0224-x
Big News Today. Insilico Medicine's team made a breakthrough in AI for drug discovery last year. Today we are far ahead and…