Leveraging process integration in early drug discovery

Recent advances in new analysis and prediction concepts in informatics, statistics and computational chemistry have drawn attention to mining the enormous flood of information generated from ultra-high-throughput screening (uHTS) and early drug discovery more effectively. This review analyses current infrastructure and process concepts in data analysis, storage and mining, with a particular focus on high-throughput technologies. It also provides examples of how these techniques have been applied successfully together with underlying reasons for these developments.