Supercomputers Simulate New Pathways for Potential RNA Virus Treatment

University of New Hampshire (UNH) researchers recently used high-performance supercomputers to identify new inhibitor binding/unbinding pathways in an RNA-based virus. The findings could be beneficial in understanding how these inhibitors react and potentially help develop a new generation of drugs to target viruses with high death rates, such as HIV-1, Zika, Ebola, and SARS-CoV2, the virus that causes COVID-19.

Supercomputer Simulations Help Researchers Predict Solar Wind Storms

Researchers at the University of New Hampshire used SDSC’s Comet supercomputer to validate a model using a machine learning technique called Dynamic Time Lag Regression (DTLR) to help predict the solar wind arrival near the Earth’s orbit from physical parameters of the Sun.