Understanding protein interactions is key to innumerable fields – including, notably, drug design. Now, researchers from the Georgia Institute of Technology have developed a machine learning tool to predict interactions between multiple proteins, paving the way for easier identification of drug targets for antibiotics and therapeutics.
The post Summit Supercomputer, Deep Learning Power Protein Interaction Prediction appeared first on HPCwire.
While headlines often spotlight U.S. and Asian companies in the humanoid robotics...
Boston Dynamics announced the latest upgrades for its popular quadruped robot Spot....
The inner workings of the Earth shape the continents and islands we...
Highly Niched Headhunters Specialized in Physical AI/Robotics, High-Performance Computing, Unmanned/Autonomous Systems, Defense Technology and Energy.
We recruit across complex engineering markets where understanding the technology is critical to finding the right talent.
Overview of how PACE partners with teams: Our process, what clients get, and why PACE is different.
PACE’s story, values, and culture define how we operate and who we are.
Stay up to date on industry trends.
All the information needed for anyone interested in contacting us.
