Resource For Structure-Based Computational Drug Discovery And Design (RSCD3)
Building on several decades of work with the AutoDock Suite, the Resource for Structure-based Computational Drug Discovery and Design (RSCD3) aims to provide a user-facing infrastructure for novice and expert users to easily apply a diverse, modern toolset of methods to drug discovery and design applications.
RSCD3 is directed by Dr. Stefano Forli, PI of the Forli lab at Scripps Research.
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RSCD3 is extending its support for the community through documentation and self-taught tutorials as well as presenting workshops at national conferences, community discussion groups, and expert guidance for showcasing more recent and advanced protocols.
Visit Our Campus At Scripps Research, La Jolla, CA
This resource is funded by a National Institute of General Medical Sciences grant: R24GM145962.
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