Key result
2D-QSAR and molecular field analysis reveal polarity and polarizability drive BVDV RNA-dependent RNA polymerase inhibition.
Computational modeling identifies polarity and polarizability as key molecular characteristics for BVDV RNA-dependent RNA polymerase allosteric inhibitors.
Polarity and polarizability may inform BVDV RdRp inhibitor design; leaves open translation to antiviral therapies pending validation.
Bovine viral diarrhea virus (BVDV), a major pathogen of cattle, is a well-characterized pestivirus which has been used as a good model virus for HCV. The RNA-dependent RNA polymerase (RdRp) plays a key role in the RNA replication process, thus it has been targeted for antivirus drugs. We employed two-dimensional quantitative structure-activity relationship (2D-QSAR) and molecular field analysis (MFA) to identify the molecular substructure requirements, and the particular characteristics resulted in increased inhibitory activity for the known series of compounds to act as effective BVDV inhibitors. The 2D-QSAR study provided the rationale concept for changes in the structure to have more potent analogs focused on the class of arylazoenamines, benzimidazoles, and acridine derivatives with an optimal subset of descriptors, which have significantly contributed to overall anti-BVDV activity. MFA represented the molecular patterns responsible for the actions of antiviral compound at their receptors. We conclude that the polarity and the polarizability of a molecule play a main role in the inhibitory activity of BVDV inhibitors in the QSAR modeling.
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Chai et al. (2013) studied Bovine viral diarrhea virus (BVDV) infection (in silico model) (n=94). Molecular modeling (2D-QSAR and MFA) was evaluated on Predicted pEC50 (anti-BVDV activity). 2D-QSAR and molecular field analysis revealed that the polarity and polarizability of small molecules play a main role in their inhibitory activity against BVDV RNA-dependent RNA polymerase.
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