D
David Madge
Publications - 1
Citations - 663
David Madge is an academic researcher. The author has contributed to research in topics: Cell signaling & DDR1. The author has an hindex of 1, co-authored 1 publications receiving 353 citations.
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Deep learning enables rapid identification of potent DDR1 kinase inhibitors.
Alex Zhavoronkov,Yan A. Ivanenkov,Alexander Aliper,Mark S. Veselov,Vladimir A. Aladinskiy,Anastasiya V Aladinskaya,Victor A Terentiev,Daniil Polykovskiy,Maksim Kuznetsov,Arip Asadulaev,Yury Volkov,Artem Zholus,Rim Shayakhmetov,Alexander Zhebrak,Lidiya I Minaeva,Bogdan A Zagribelnyy,Lennart H Lee,Richard Soll,David Madge,Li Xing,Tao Guo,Alán Aspuru-Guzik +21 more
TL;DR: A machine learning model allows the identification of new small-molecule kinase inhibitors in days and is used to discover potent inhibitors of discoidin domain receptor 1 (DDR1), a kinase target implicated in fibrosis and other diseases, in 21 days.