Network of Optimal Dynamic Energy Signatures (NODES)

The Defense Advanced Research Projects Agency (DARPA) is soliciting proposals to develop computational models that will input protein sequences and predict their associated functions based on protein movements (dynamics) observed during folding, protein binding, and/or allosteric interactions. The ability to predict protein function will also be tested across a range of scenarios defined by DARPA.

In addition to simulating, learning, and generating molecular dynamics, the program performers will be required to create an Application Programming Interface (API) for general usage by the community, as well as appropriate guardrails to ensure the safety of both the models and the interpretation of the predicted protein functions.

Together, these efforts will bolster Department of Defense’s (DoD) ability to probe the limitless space of de novo protein sequences, provide a tool to expedite threat characterization when the nation or warfighters are introduced to an unknown agent, and shorten the time to developing Medical Countermeasures (MCMs).

Finally, the Network of Optimal Dynamic Energy Signatures (NODES) program will support biomedical research by providing expedited ways to understand infectious, protect crops, develop new pharmaceuticals, and elucidate mechanism of disease.