Free-Energy Landscape of a pH-Modulated G·C Base Pair Transition from Watson-Crick to Hoogsteen State in Duplex DNA

Isomerization Pathways of a Mismatched Base Pair of A:8OG in Free Duplex DNA

The A:8OG base pair (bp) is the outcome of DNA replication of the mismatched C:8OG bp. A high A:8OG bp population increases the C/G to A/T transversion mutation, which is responsible for various diseases. MutY is an important enzyme in the error-proof cycle and reverts A:8OG to C:8OG bp by cleaving adenine from the A:8OG bp. Several X-ray crystallography studies have determined the structure of MutY during the lesion scanning and lesion recognition stages. Interestingly, glycosidic bond (χ) angles of A:8OG bp in those two lesion recognition structures were found to differ, which implies that χ-torsion isomerization should occur during the lesion recognition process. In this study, as a first step to understanding this isomerization process, we characterized the intrinsic dynamic features of A:8OG in free DNAs by a free energy landscape simulation at the all-atom level. In this study, four isomerization states were assigned in the order of abundance: Aanti:8OGsyn > Aanti:8OGanti > Asyn:8OGanti ≈ Asyn:8OGsyn. Of these bp states, only 8OG in Asyn:8OGanti was located in the extrahelical space, whereas the purine bases (A and 8OG) in the other bp states remained inside the DNA helix. Also, free energy landscapes showed that the isomerization processes connecting these four bp states proceeded mostly in the intrahelical space via successive single glycosidic bond rotations of either A or 8OG.

Alchemical Free-Energy Calculations of Watson-Crick and Hoogsteen Base Pairing Interconversion in DNA

Hoogsteen (HG) base pairs have a transient nature and can be structurally similar to Watson-Crick (WC) base pairs, making their occurrence and thermodynamic stability difficult to determine experimentally. Herein, we employed the restrain-free-energy perturbation-release (R-FEP-R) method to calculate the relative free energy of the WC and HG base pairing modes in isolated and bound DNA systems and predict the glycosyl torsion conformational preference of purine bases. Notably, this method does not require prior knowledge of the transition pathway between the two end states. Remarkably, relatively fast convergence was reached, with results in excellent agreement with experimental data for all the examined DNA systems. The R-REP-R method successfully determined the stability of HG base pairing and more generally, the conformational preference of purine bases, in these systems. Therefore, this computational approach can help to understand the dynamic equilibrium between the WC and HG base pairing modes in DNA.

Sequence dependence of transient Hoogsteen base pairing in DNA

Hoogsteen (HG) base pairing is characterized by a 180° rotation of the purine base with respect to the Watson-Crick-Franklin (WCF) motif. Recently, it has been found that both conformations coexist in a dynamical equilibrium and that several biological functions require HG pairs. This relevance has motivated experimental and computational investigations of the base-pairing transition. However, a systematic simulation of sequence variations has remained out of reach. Here, we employ advanced path-based methods to perform unprecedented free-energy calculations. Our methodology enables us to study the different mechanisms of purine rotation, either remaining inside or after flipping outside of the double helix. We study seven different sequences, which are neighbor variations of a well-studied A⋅T pair in A6-DNA. We observe the known effect of A⋅T steps favoring HG stability, and find evidence of triple-hydrogen-bonded neighbors hindering the inside transition. More importantly, we identify a dominant factor: the direction of the A rotation, with the 6-ring pointing either towards the longer or shorter segment of the chain, respectively relating to a lower or higher barrier. This highlights the role of DNA's relative flexibility as a modulator of the WCF/HG dynamic equilibrium. Additionally, we provide a robust methodology for future HG proclivity studies.