Abstract
The infection by Severe Acute
Respiratory Syndrome coronavirus (SARS)-CoV2
could be inhibited in vitro by mutations stabilizing their
spike (S) native conformation in prefusion states, as reported by several
authors. However,
the possible S stabilization by binding-ligands, rather than by mutations, have
not been computationally explored, nor it is known if that will be possible. Therefore,
to first explore these possibilities, a binding target for predictive programs was
focused to where the inhibiting mutations were described in the S coronavirus
protein, in particular to the “spring-loaded switch-folding” (SLSF) segment of
the S2 subunit, whose prefusion unfolding/refolding is required for viral/host
membrane fusion. Similar SLSF prefusion mechanisms have been described in many
other enveloped viruses. Results of a
double computational screening of hundred of thousands of natural compounds for
binding to wild-type SLSF conformer, predicted more leads in the low nM range
for trimers than for monomers. Further ranked by the number of bound SLSF-conformers,
some of the derived top-leads were predicted that may deserve experimental
validation. Additionally, thousands of drugs were also included into the screening,
resulting in a few top-lead drugs predicted to bind SLSF targets in the low nM
range. All these potentially interacting S-ligands, similar structures and/or chemically
improved designs, could be used to experimentally find out whether it will be
possible to use them for inhibiting fusion and infection, offer new tools to investigate prefusion mechanism(s) and
may contribute to therapeutic purposes.