Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2
Faraz Faghri, Mike A. Nalls · Patterns · 2021
Network-based learning enables the identification of possible undiscovered interactions in biological systems. In this issue of Patterns , Du et al. show that applying these methods to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reveals potential infection targets of the virus and possible interactions between SARS-CoV-2 proteins and human proteins.