Formamidopyrimidine-DNA glycosylase (Fpg) is a primary participant in the repair of 8-oxoguanine, an abundant oxidative DNA lesion. Although the structure of Fpg has been established, amino acid residues that define damage recognition have not been identified. We have combined molecular dynamics and bioinformatics approaches to address this issue. Site-specific mutagenesis coupled with enzyme kinetics was used to test our predictions. On the basis of molecular dynamics simulations, Lys-217 was predicted to interact with the O 8 of extrahelical 8-oxoguanine accommodated in the binding pocket. Consistent with our computational studies, mutation of Lys-217 selectively reduced the ability of Fpg to excise 8-oxoguanine from DNA. Dihydrouracil, also a substrate for Fpg, served as a nonspecific control. Other residues involved in damage recognition (His-89, Arg-108, and Arg-109) were identified by combined conservation/structure analysis. Arg-108, which forms two hydrogen bonds with cytosine in Fpg-DNA, is a major determinant of opposite-base specificity. Mutation of this residue reduced excision of 8-oxoguanine from thermally unstable mispairs with guanine or thymine, while excision from the stable cytosine and adenine base pairs was less affected. Mutation of His-89 selectively diminished the rate of excision of 8-oxoguanine, whereas mutation of Arg-109 nearly abolished binding of Fpg to damaged DNA. Taken together, these results suggest that His-89 and Arg-109 form part of a reading head, a structural feature used by the enzyme to scan DNA for damage. His-89 and Lys-217 help determine the specificity of Fpg in recognizing the oxidatively damaged base, while Arg-108 provides specificity for bases positioned opposite the lesion.Oxidative metabolism produces reactive oxygen species that damage cellular DNA. DNA bases, deoxyribose, and the cellular nucleoside triphosphate pool are prone to such events. Redox reactions result in modification of the canonical DNA bases, with formamidopyrimidine (FaPy)

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Current analyses of protein sequence/structure relationships have focused on expected similarity relationships for structurally similar proteins. To survey and explore the basis of these relationships, we present a general sequence/structure map that covers all combinations of similarity/dissimilarity relationships and provide novel energetic analyses of these relationships. To aid our analysis, we divide protein relationships into four categories: expected/unexpected similarity (S and S(?)) and expected/unexpected dissimilarity (D and D(?)) relationships. In the expected similarity region S, we show that trends in the sequence/structure relation can be derived based on the requirement of protein stability and the energetics of sequence and structural changes. Specifically, we derive a formula relating sequence and structural deviations to a parameter characterizing protein stiffness; the formula fits the data reasonably well. We suggest that the absence of data in region S(?) (high structural but low sequence similarity) is due to unfavorable energetics. In contrast to region S, region D(?) (high sequence but low structural similarity) is well-represented by proteins that can accommodate large structural changes. Our analyses indicate that there are several categories of similarity relationships and that protein energetics provide a basis for understanding these relationships.