Agonist binding of the human D-2S receptor overexpressed in baculovirus-infected Sf9 insect cells was of low affinity and GppNHp-insensitive, yet, dopaminergic agonists were able to partly inhibit forskolin-stimulated cAMP accumulation. In order to prove full functionality of the receptor, we used an ''in vivo'' reconstitution system, which is based on coinfection of Sf9 cells with the appropriate receptor and G protein encoding baculoviruses. In cells coexpressing the D-2S receptor and either G(i1) or G(i2), the dopaminergic agonist apomorphine effectively stimulated [S-35]GTP gamma S binding and GTPase activity. Agonist-stimulated [S-35]GTP gamma S binding was dependent on the ratio of G protein to receptor. Expression levels of receptor and G protein influenced each other reciprocally. G protein activation could be optimized by varying the multiplicity of infection of the receptor and G protein encoding baculoviruses. Coexpression of either G(i1) or G(i2) led to the appearance of GppNHp-sensitive high-affinity agonist binding. Detailed agonist competition binding analysis revealed that the percentage of high-affinity agonist binding sites was significantly higher in D-2S receptor-expressing cells coinfected with G(i1) viruses than when coinfected with G(i2) viruses. Moreover, the coexpressed Gi proteins seemed to modulate the affinity of agonists for the high-affinity form of the receptor. In cells coexpressing G(i1), agonist high affinity was 2-4-fold higher than in cells coexpressing G(i2). Na+ increased the dissociation constant of apomorphine for the high affinity site by 2-4-fold without affecting the percentage of high-affinity sites or the preference for G(i1). In some dopamine competition experiments with coinfected cells, displacement data were best fit assuming three noninteracting classes of sites in the absence and two independent classes of sites in the presence of GppNHp. Dopamine competition curves with cells highly overexpressing the D-2S receptor or with membranes from such cells were best fit assuming two independent classes of sites which were insensitive to GppNHp and might reflect abnormal compartimentalization and/or different states of aggregation.