Drug Discovery at Novartis Institutesfor BioMedical Research (NIBR)
Traditional drug discovery is time-consuming & costly. HPC offers rapid, accurate in-silico simulations.
Parallelism: Enables concurrent simulations of multiple compounds, speeding up potential drug candidate assessment.
Hardware & Scaling: Fusion of traditional supercomputers & GPU nodes to supercharge molecular simulations.
Key Tools:
GROMACS: Optimized for granular molecular dynamics.
Amber: Used for diverse biomolecular interactions.
Optimization:
Performance monitoring ensures effective resource use.
Task granularity control tailors tasks to computational nodes.
Impact & Benefits: Reduced time-to-discovery. Opportunity to revisit previously challenging compounds.
Integrating AI in HPC: As AI’s predictive modeling grows, how can it merge with HPC for a more holistic drug discovery approach? Consider challenges and opportunities.
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