1987
DOI: 10.1016/0022-2836(87)90189-6
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Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteins

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Cited by 611 publications
(454 citation statements)
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“…The most polar amino acid is aspartic acid with ⌬Gapp ϭ 3.49 kcal/mol [48]. Several other amino acid hydrophobicity scales-such as Cornette [35], Kyte-Doolitle [49], transmembrane tendency scale [50]-differ slightly from the Hessa scale. Analysis of the major hydrophobicity scales confirms their applicability to describe a general trend of periodic distribution of hydrophobic and hydrophilic amino acids in amphipathic peptides and proteins.…”
Section: Ecd Pia Analysismentioning
confidence: 99%
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“…The most polar amino acid is aspartic acid with ⌬Gapp ϭ 3.49 kcal/mol [48]. Several other amino acid hydrophobicity scales-such as Cornette [35], Kyte-Doolitle [49], transmembrane tendency scale [50]-differ slightly from the Hessa scale. Analysis of the major hydrophobicity scales confirms their applicability to describe a general trend of periodic distribution of hydrophobic and hydrophilic amino acids in amphipathic peptides and proteins.…”
Section: Ecd Pia Analysismentioning
confidence: 99%
“…ECD FT-ICR MS of six doubly protonated horse myoglobin tryptic fragments ( [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16], [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31], [32][33][34][35][36][37][38][39][40][41][42] Figure S2) and with vibrational activation ( Figure 5) confirm preferential and sometimes periodic product ion formation from peptides with mainly ␣-helical or ␤-turn secondary structure in solution (before protein digestion). Predominantly z-ions are observed because of preferential charge retention at the C-terminal Lys or Arg basic residue upon electron capture, as expected for doubly charged tryptic peptides.…”
Section: Ecd Of Doubly Charged Amphipathic Peptidesmentioning
confidence: 99%
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“…Note, however, that the number of data points for Phe and Met is very limited. Note also that we have, for illustrative purposes, used the scale of FauchCre & PliSka (l983), but different solvent transfer and hydrophobicity scales show substantial variation among themselves (Cornette et al, 1987). Another major concern is the reliability of the cavity calculations, especially when the volumes are relatively small (see below).…”
Section: The Energetics Of Cavity Formationmentioning
confidence: 99%
“…The proprietary techniques used to analyze and target GAL's leading hydrophobic sequence autocovariance matrix eigenmodes include: (1) numerical transformation of the GAL sequence into amino acid solvent partition-derived hydrophobicities in kcal/mol [49][50][51][52] ;(2) linear decomposition of hydrophobically transformed GAL sequence's lagged autocovariance matrix, generating leading eigenvalues, eigenvectors, and eigenfunctions. The latter are formed by composition of the eigenvectors with the sequentially averaged hydrophobic series 1,53,54 ; (3) all poles, maximum entropy, power spectral transformation of the leading eigenfunctions to partially describe and index the wavelengths of the leading hydrophobic eigenmodes 1,[55][56][57] ; (4) wavelet transformation of the leading eigenfunctions to obtain an independent approximation of the wavelengths of the leading mode densities that were indicated by their power (frequency) spectral transformations, and to suggest the sequence location(s) of their leading eigenmode densities 7,11,12,[58][59][60][61][62][63] ; (5) weighted random assignment of amino acids by hydrophobic group to the partitioned compound eigenvector template, derived from, (2) generating the hydrophobic mode matched, candidate peptide ligands.…”
Section: The Results Of Gal Analyses and Peptide-ligand Design Elucidmentioning
confidence: 99%