Formation of guanine-quadruplexes by four DNA oligonucleotides with common sequence dG4-loop-dG4 has been studied by a combination of NMR and UV spectroscopy. The loops consisted of 1',2'-dideoxyribose, propanediol, hexaethylene glycol, and thymine residues. The comparison of data on modified and parent oligonucleotides gave insight into the role of loop residues on formation and stability of dimeric G-quadruplexes. All modified oligonucleotides fold into dimeric fold-back G-quadruplexes in the presence of sodium ions. Multiple structures form in the presence of potassium and ammonium ions, which is in contrast to the parent oligonucleotide with dT4 loop. 15N-filtered 1H NMR spectra demonstrate that all studied G-quadruplexes exhibit three 15NH4(+) ion binding sites. Topology of intermolecular G-quadruplexes was evaluated by NMR measurements and diffusion experiments. The spherical, prolate-ellipsoid and symmetric cylinder models were used to interpret experimental translational diffusion constants in terms of diameters and lengths of unfolded oligonucleotides and their respective G-quadruplexes. UV melting and annealing curves show that oligonucleotides with non-nucleosidic loop residues fold faster, exhibit no hysteresis, and are less stable than dimeric d(G4T4G4)2 which can be attributed to the absence of H-bonds, stacking between loop residues and the outer G-quartets as well as cation-pi interactions. Oligonucleotide consisting of hexaethylene glycol linkage with only two phosphate groups in the loop exhibits higher melting temperature and more negative deltaH(o) and deltaG(o) values than oligonucleotides with four 1',2'-dideoxyribose or propanediol residues.
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http://dx.doi.org/10.1021/bi0514414 | DOI Listing |
Proteins have proven to be useful agents in a variety of fields, from serving as potent therapeutics to enabling complex catalysis for chemical manufacture. However, they remain difficult to design and are instead typically selected for using extensive screens or directed evolution. Recent developments in protein large language models have enabled fast generation of diverse protein sequences in unexplored regions of protein space predicted to fold into varied structures, bind relevant targets, and catalyze novel reactions.
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