Sequence preference of α-helix N-terminal tetrapeptide. 2012

Yifei Qi, and Huanhuan Liang, and Xinping Han, and Luhua Lai
College of Chemistry and Molecular Engineering, Peking University, Beijing, China.

The α-helix is the most abundant secondary structure in proteins. Due to the specific i, i+4 hydrogen bond pattern, the two termini have unsatisfied hydrogen bonds, and are less constrained; in order to compensate for this, specific residues are preferred for the terminal positions. However, a naive combination of the statistically-preferred residues for each position may not result in a stable N-terminal helical sequence. In order to provide a set of preferable N-terminal peptides for α-helix design, we have studied the N-terminal tetrapeptide sequence motifs that are favorable for helix formation using statistical analysis and atomistic simulations. A set of tetrapeptide sequences including TEEE and TPEE were found to be favorable motifs. In addition to forming more hydrogen bonds in the helical conformation, the favorable motifs also tended to form more capping boxes. To empirically test our predictions, we obtained 10 peptides with different N-terminal motifs and measured their α-helical content by circular dichroism spectroscopy. The experimental results agreed qualitatively with the statistical and simulation results. Furthermore, some of the suggested preferable tetrapeptide sequences have been successfully applied in de novo protein design.

UI MeSH Term Description Entries
D009010 Monte Carlo Method In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993) Method, Monte Carlo
D009842 Oligopeptides Peptides composed of between two and twelve amino acids. Oligopeptide
D010446 Peptide Fragments Partial proteins formed by partial hydrolysis of complete proteins or generated through PROTEIN ENGINEERING techniques. Peptide Fragment,Fragment, Peptide,Fragments, Peptide
D011506 Proteins Linear POLYPEPTIDES that are synthesized on RIBOSOMES and may be further modified, crosslinked, cleaved, or assembled into complex proteins with several subunits. The specific sequence of AMINO ACIDS determines the shape the polypeptide will take, during PROTEIN FOLDING, and the function of the protein. Gene Products, Protein,Gene Proteins,Protein,Protein Gene Products,Proteins, Gene
D019295 Computational Biology A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets. Bioinformatics,Molecular Biology, Computational,Bio-Informatics,Biology, Computational,Computational Molecular Biology,Bio Informatics,Bio-Informatic,Bioinformatic,Biologies, Computational Molecular,Biology, Computational Molecular,Computational Molecular Biologies,Molecular Biologies, Computational
D020816 Amino Acid Motifs Three-dimensional protein structural elements that are composed of a combination of secondary structures. They include HELIX-LOOP-HELIX MOTIFS and ZINC FINGERS. Motifs are typically the most conserved regions of PROTEIN DOMAINS and are critical for domain function. However, the same motif may occur in proteins or enzymes with different functions. AA Motifs,Motifs, Amino Acid,Protein Motifs,Protein Structure, Supersecondary,Supersecondary Protein Structure,AA Motif,Amino Acid Motif,Motif, AA,Motif, Amino Acid,Motif, Protein,Motifs, AA,Motifs, Protein,Protein Motif,Protein Structures, Supersecondary,Supersecondary Protein Structures

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