Understanding the
specifics of interaction between the protein
and nanomaterial is crucial for designing efficient, safe, and selective
nanoplatforms, such as biosensor or nanocarrier systems. Routing experimental
screening for the most suitable complementary pair of biomolecule
and nanomaterial used in such nanoplatforms might be a resource-intensive
task. While a range of computational tools are available for prescreening
libraries of proteins for their interactions with small molecular
ligands, choices for high-throughput screening of protein libraries
for binding affinities to new and existing nanomaterials are very
limited. In the current work, we present the results of the systematic
computational study of interaction of various biomolecules with pristine
zero-valent noble metal nanoparticles, namely, AgNPs, by using the
UnitedAtom
multiscale approach. A set of blood plasma and
dietary proteins for which the interaction with AgNPs was described
experimentally were examined computationally to evaluate the performance
of the
UnitedAtom
method. A set of interfacial descriptors
(log
P
NM
, adsorption affinities, and adsorption
affinity ranking), which can characterize the relative hydrophobicity/hydrophilicity/lipophilicity
of the nanosized silver and its ability to form bio(eco)corona, was
evaluated for future use in nano-QSAR/QSPR studies.