Identifying potential drug candidates with deep learning virtual screening
The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, reported in the International Journal of Reasoning-based Intelligent Systems, offers a way to speed up research and could unblock industry bottlenecks.
📰 Original Source
Read full article at Phys →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.