A novel
virtual screening strategy was proposed for the
profiling
and discovery of active variable regions (VRs) that encode hapten-specific
recombinant antibodies (rAbs). Chlorpyrifos, a hazardous organophosphorus
pesticide, was selected as the target. First, a VR model-14G4 from
anti-chlorpyrifos hybridoma was built via homology modeling. Its binding
pattern toward seven organophosphorus analogues was assessed through
virtual screening by performing molecular docking. Based on energy
scoring, visual examination, and molecular interaction analysis, chlorpyrifos-methyl
was also inferred as the high-affinity target for model-14G4 and was
then confirmed via a non-competitive surface plasmon resonance (SPR)
assay. Subsequently, we attempted to discover hapten-specific VRs
by creating a collection of VR models for anonymous testing. Chlorpyrifos
and model-14G4 were employed as the known hit and active VRs, respectively.
After molecular docking, a novel anti-chlorpyrifos VR (model-1) was
identified due to its satisfactory energy scoring and a similar binding
pattern to the reference model-14G4. Expressed by HEK293(F) mammalian
cells, the newly prepared full-length rAb-model-1 and rAb-14G4 exhibited
high sensitivities for detecting chlorpyrifos by the indirect competitive
enzyme-linked immunosorbent assay (ic-ELISA), with IC50 of 3.01 ng/mL and 42.82 ng/mL, respectively. They recognized chlorpyrifos-methyl
with a cross-reactivity (CR) of 2.5–17.3%. Moreover, the binding
properties of rAb-model-1 for recognizing chlorpyrifos and chlorpyrifos-methyl
were confirmed via a non-competitive microscale thermophoresis (MST)
method. Thus, the experimental results showed good agreement with
computational outputs on antibody profiling. Furthermore, the recognition
diversity of rAb-model-1 for chlorpyrifos and chlorpyrifos-methyl
was studied via molecular dynamics simulation. Overall, the proposed
study provides a versatile and economical strategy for antibody characterization
and promotes the in vitro production of rAbs for
pesticide monitoring.