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J Phys Chem B ; 122(1): 106-116, 2018 01 11.
Article in English | MEDLINE | ID: mdl-29212326

ABSTRACT

Regulation of nuclear receptors by their coactivators involves the recognition and binding of a specific sequence motif contained in the coactivator sequence. This motif is known as the nuclear receptor (NR) box and contains a conserved LxxLL subsequence, where L is leucine and x is any amino acid residue. Crystallographic studies have shown that the LxxLL motifs adopt an α-helical conformation when bound to their cognate nuclear receptors. Here we use an extensive set of folding molecular dynamics simulations to examine whether the α-helical conformation demonstrated by the LxxLL motifs in the bound state may represent a persistent structural preference of these peptides even in the absence of their cognate receptors. To this end, we have performed a grand total of 35 µs of adaptive tempering folding simulations of an NR-box-containing peptide derived from Drosophila's fushi tarazu segmentation gene product. Our simulations-performed using full electrostatics and an explicit representation of two different solvents (water and a TFE/water mixture)-clearly indicate the presence of a persistent helical preference of the LxxLL motif with a concomitant native-like structure and contacts between the motif's leucine residues. To lend further support to our findings, we compare the simulation-derived peptide dynamics with experimental NMR-derived nuclear Overhauser effect (NOE) measurements that had been previously obtained for the same peptide in the same two solvents. The comparison demonstrates a quantitative agreement between simulation and experiment with average upper bound NOE violations of less than 0.084 Å, thus independently validating our main conclusion concerning the intrinsic preference of NR-box motifs to form helical structures even in the absence of their cognate receptors.


Subject(s)
Drosophila Proteins/chemistry , Fushi Tarazu Transcription Factors/chemistry , Protein Folding , Amino Acid Motifs , Animals , Drosophila , Magnetic Resonance Spectroscopy , Molecular Dynamics Simulation , Protein Conformation, alpha-Helical , Water/chemistry
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