Aj. Mandell et al., MODE MATCHES AND THEIR LOCATIONS IN THE HYDROPHOBIC FREE-ENERGY SEQUENCES OF PEPTIDE LIGANDS AND THEIR RECEPTOR EIGENFUNCTIONS, Proceedings of the National Academy of Sciences of the United Statesof America, 94(25), 1997, pp. 13576-13581
Patterns in sequences of amino acid hydrophobic bic free energies pred
ict secondary structures in proteins. In protein folding, matches in h
ydrophobic free energy statistical wavelengths appear to contribute to
selective aggregation of secondary structures in ''hydrophobic zipper
s.'' in a similar setting, the use of Fourier analysis to characterize
the dominant statistical wavelengths of peptide ligands' and receptor
proteins' hydrophobic modes to predict such matches has been limited
blv the aliasing and end effects of short peptide lengths, as well as
the broad-band, mode multiplicity of many of their frequency (power) s
pectra. In addition. the sequence locations of the matching modes are
lost in this transformation. We make new use of three techniques to ad
dress these difficulties: (i) eigen-function construction from the lin
ear decomposition of the lagged covariance matrices of the ligands and
receptors as hydrophobic free energy sequences: (ii) maximum entropy,
complex poles power spectra, which select the dominant modes of the h
ydrophobic free energy sequences or their eigenfunctions; and (iii) di
screte, best bases, trigonometric wavelet transformations, which confi
rm the dominant spectral frequencies of the eigenfunctions and locate
them as (absolute valued) moduli in the peptide or receptor sequence.
The leading eigenfunction of the convariance matrix of a transmembrane
receptor sequence locates the same transmembrane segments seen in n-b
lock-averaged hydropathy plots whit leaving the remaining hydrophobic
modes unsmoothed and available far further analysis as secondary eigen
functions, In these receptor eigenfunctions, uf find a set: of statist
ical wavelength matches between peptide ligands and their G-protein an
d tyrosine kinase coupled receptors, ranging across examples from 13.1
0 amino acids in acid fibroblast growth factor to 2.18 residues in cor
ticotropin releasing factor. We find that the wavelet-located receptor
modes in the extracellular loops are compatible with studies of recep
tor chimeric exchanges and point mutations. A nonbinding corticotropin
-releasing factor receptor mutant is shown to have lost the signatory
mode common to the normal receptor and its ligand. Hydrophobic free en
ergy eigenfunctions and their transformations offer new quantitative p
hysical homologies in database searches for peptide-receptor matches.