Before revision:  We employ dynamical side-chain network concepts on COVID-19 spike glycoprotein, which is crucial for viral entry into human cells.
After revision:  We employ dynamical side-chain based network metrics in contrast to backbone measurements. As an illustrative example, we apply the described network approach to investigate the global conformational change between the closed and partially open states of the SARS-CoV-2 spike protein. This conformational change in the spike protein is crucial for viral entry into human cells.