Back

Dynamics, Electrostatics, and Thermodynamics ofBase Pairing at the LTR-III Quadruplex:Duplex Junction

Michel, H. M.; Lemkul, J. A.

2024-01-22 biophysics
10.1101/2024.01.17.576154 bioRxiv
Show abstract

G-quadruplexes (GQs) play key regulatory roles within the human genome and have also been identified to play similar roles in other eukaryotes, bacteria, archaea, and viruses. Human immunodeficiency virus 1 (HIV-1), the etiological agent of acquired immunodeficiency syndrome (AIDS), can form two GQs in its long terminal repeat (LTR) promoter region, each of which act to regulate viral gene expression in opposing manners. The major LTR GQ, called LTR-III, is a distinct hybrid GQ containing a 12-nucleotide duplex loop attached to the quadruplex motif. The resulting quadruplex:duplex junction (QDJ) has been hypothesized to serve as a selective drug targeting site. To better understand the dynamics of this QDJ, we performed conventional and enhanced-sampling molecular dynamics simulations using the Drude-2017 force field. We observed unbiased and reversible formation of additional base pairs in the QDJ, between Ade4:Thy14 and Gua3:Thy14. Both base pairs were electrostatically favored but geometric constraints within the junction may drive the formation of, and preference for, the Ade4:Thy14 base pair. Finally, we demonstrated that the base pairs are separated only by small energy barriers that may enable transitions between both base-paired states. Together, these simulations provide new insights into the dynamics, electrostatics, and thermodynamics of the LTR-III QDJ. SIGNIFICANCEHere, we characterize the quadruplex:duplex junction of the HIV-1 LTR-III G-quadruplex. We find that two additional base pairs can form in the junction and are driven by electrostatic, thermodynamic, and geometric factors. G-quadruplexes containing such junctions are rather recent discoveries, and it has been proposed that these junctions can act as selective targets for drugs. These results further identify distinct chemical and electrostatic characteristics that can be used to guide drug design studies.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.