AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This work systematically benchmarked several molecular docking tools representing all-atom models, highlighting the complementarity of AI-based approaches and methods based on physical sampling in all-atom models, in terms of their applicability range, and argues for the benefits of tighter integration.
As chemical libraries expand into the trillions of molecules, Virtual SYNthon Hierarchical Enumeration Screening (V-SYNTHES) has emerged as a leading strategy for making gigascale virtual screening computationally tractable. In V-SYNTHES, a Minimal Enumeration Library (MEL) of chemical fragments is docked against a tar...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.