Center for Applied AI in Protein Dynamics
Harnessing the revolution in machine learning methods to decipher the molecular principles that underpin protein dynamics.
The Center for Applied AI in Protein Dynamics fosters innovation, implementation, and adoption of artificial intelligence systems and machine learning technologies to advance the frontier of biomolecular dynamics, decipher the mechanisms of diseases, and improve human health.
Leading biomedical researchers at the center are developing integrated computational and experimental tools to characterize and design the functional dynamics of proteins. This insight will be leveraged for the discovery and development of precise small molecule drug candidates.
Center Objectives
- Build AI to model and design protein dynamics.
- Develop integrated computational and experimental methods to decipher the role of dynamics in protein function.
- Elevate how AI can be used by genomic scientists working on cancer and neuropsychiatric disorders.
- Apply integrated computational and experimental methods to highlight the role of dynamics in disease-linked protein mutations.
- Integrate physics and AI to address long-standing challenges in computer-aided drug design.
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