IDG-DREAM Drug Kinase Binding Prediction Challenge

Here is the information from Illuminating the Druggable Genome( IDG):

"Illuminating the Druggable Genome (IDG)-DREAM Challenge Overview

Mapping the complete target space of drugs and drug-like compounds, including both intended ‘primary targets’ as well as secondary ‘off-targets’, is a critical part of drug discovery efforts. Such a map would enable one not only to explore the therapeutic potential of chemical agents but also to better predict and manage their possible adverse effects prior to clinical trials [1]. However, the massive size of the chemical universe makes experimentally mapping the bioactivity of the full space of compound-target interactions quickly infeasible in practice, even with automated high-throughput profiling assays.

This IDG-DREAM Drug-Kinase Binding Prediction Challenge seeks to evaluate the power of statistical and machine learning models as a systematic and cost-effective means for catalyzing compound-target interaction mapping efforts by prioritizing most potent interactions for further experimental evaluation. The Challenge will focus on kinase inhibitors, due to their clinical importance [2], and will be implemented in a screening-based, pre-competitive drug discovery project in collaboration with theIlluminating the Druggable Genome (IDG) Kinase-focused Data and Resource Generation Center, consortium, with the aim to establish kinome-wide target profiles of small-molecule agents, with the goal of extending the druggability of the human kinome space."

More information: https://www.synapse.org/#!Synapse:syn15667962/wiki/583305