ATOM Webinar Series

Join Jim Brase, ATOM Co-lead, in our latest Webinar, as he explored ATOM’s molecular design approach for accelerated drug discovery.

In the webinar, Jim Brase, talked about ATOM’s molecular design approach, how ATOM has successfully demonstrated multiparameter property optimization across efficacy, safety, pharmacokinetics, and developability, and how these systems have the potential to guide and optimize experimental data collection and design validation, and how ATOM is working towards closing the computing-experimental feedback loop.

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Speaker: Jim Brase, ATOM Co-lead

Jim Brase is the Deputy Associate Director for Computing at Lawrence Livermore National Laboratory (LLNL). He leads LLNL research in the application of high-performance computing, large-scale data science, and simulation to a broad range of national security and science missions. Jim is Co-lead of the ATOM Consortium for computational acceleration of drug discovery, and on the leadership team of the COVID-19 HPC Consortium. Jim’s research interests focus on the intersection of machine learning, simulation, and high-performance computing. He is currently leading efforts on large-scale computing for life science, biosecurity, and nuclear security applications. In his previous position as LLNL’s Deputy Program Director for Intelligence, Jim led efforts in intelligence and cybersecurity R&D.

 

Webinar Take Away

  • Computing and machine learning can accelerate molecular optimization for applications ranging from cancer to infectious disease therapeutics

  • ATOM has successfully demonstrated multiparameter property optimization across efficacy, safety, pharmacokinetics, and developability

  • These systems have the potential to guide and optimize experimental data collection and design validation but much work remains in closing the computing-experimental feedback loop

Find Past Webinar Presentations & Recording

John Baldoni: An Alternative Approach and Business Model to Accelerate Drug Discovery

Jim Brase: The ATOM molecular design approach for accelerated drug discovery