Abstract: The SOUTHERNLOOP can be used by any person, but is especially suited for individuals with long hair, who have trouble sleeping due to their hair, or desire body and waviness in their hair. The SOUTHERNLOOP uses a material sheath to hold hair in place, making it more manageable. When following the instructions, the product holds hair off the neck for showering, sleeping, and exercising, while also sculpting the hair into full bodied waves.

Abstract: Disclosed are peptides that exhibit good binding to the anticodon stem and loop of human lysine tRNA species, tRNALys3. The starting point was the 15-amino-acid sequence, RVTHHAFLGAHRTVG, found to bind selectively to hypermodified tRNALys3. The peptide backbone conformation was determined via atomistic simulation of the peptide-ASLLys3complex and then held fixed throughout the search. Analysis of the binding structure and the various contributions to the binding energy shows that: 1) two hydrophilic residues (asparagine (ASN) at site 11 and the cysteine (CYS) at site 12) “recognize” the ASLLys3 due to the VDW energy, and thereby contribute to its binding specificity, and 2) the positively-charged arginines (ARG) at sites 4 and 13 preferentially attract the negatively-charged sugar rings and the phosphate linkages, and thereby contribute to the binding affinity.

Abstract: Disclosed are peptides that exhibit good binding to the anticodon stem and loop (ASL) of human lysine tRNA species, tRNALys3. Using a search algorithm combining Monte Carlo (MC) and self-consistent mean field (SCMF) techniques, the peptides were evolved a with the ultimate purpose of using them to break the replication cycle of HIV-1 virus. The starting point was the 15-amino-acid sequence, RVTHHAFLGAHRTVG, found experimentally to bind selectively to hypermodified tRNALys3. The peptide backbone conformation was determined via atomistic simulation of the peptide-ASLLys3 complex and then held fixed throughout the search. The proportion of amino acids of various types (hydrophobic, polar, charged, etc.) was varied to mimic different peptide hydration properties. Three different sets of hydration properties were examined in the search algorithm to see how this affects evolution to the best-binding peptide sequences.