Data and codes behind "Crowdsourced mapping of unexplored target space of kinase inhibitors"
Anna Cichońska, Balaguru Ravikumar, Robert J. Allaway, Fang Wan, Sung‐Joon Park, Olexandr Isayev, Shuya Li, Mike J. Mason, Lamb, Andrew, Ziaurrehman Tanoli, Minji Jeon, Sunkyu Kim, Mariya Popova, Stephen J. Capuzzi, Jianyang Zeng, Kristen K. Dang, Gregory Koytiger, Jaewoo Kang, Carrow I. Wells, Timothy Mark Willson · Zenodo (CERN European Organization for Nuclear Research) · 2021
This repository contains the data underlying the figures in the journal publication describing the IDG-DREAM Drug Kinase Binding Prediction Challenge [1] as well as archives of the two following GitHub repositories: IDG-DREAM-Challenge-Analysis-ncomms.zip (https://github.com/Sage-Bionetworks/IDG-DREAM-Challenge-Analysis): codes for reproducing the analyses described in [1]; licence Apache 2.0. IDG-DREAM-Drug-Kinase-Challenge-ncomms.zip (https://github.com/Sage-Bionetworks/IDG-DREAM-Drug-Kinase-Challenge): codes used for the Challenge scoring; licence Apache 2.0. References [1] Cichońska A, Ravikumar B, Allaway RJ, Wan F, Park S, Isayev O, Li S, Mason M, Lamb A, Tanoli Z, Jeon M, Kim S, Popova M, Capuzzi S, Zeng J, Dang K, Koytiger G, Kang J, Wells CI, Willson TM, The IDG-DREAM Drug-Kinase Binding Prediction Challenge Consortium, Oprea TI, Schlessinger A, Drewry DH, Stolovitzky G, Wennerberg K, Guinney J, Aittokallio T. Crowdsourced mapping of unexplored target space of kinase inhibitors. Nature Communications 2021.