Mode matches and their locations in the hydrophobic free energy sequences of peptide ligands and their receptor eigenfunctions

Patterns in sequences of amino acid hydrophobic free energies predict secondary structures in proteins. In protein folding, matches in hydrophobic free energy statistical wavelengths appear to contribute to selective aggregation of secondary structures in “hydrophobic zippers.” 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 by the aliasing and end effects of short peptide lengths, as well as the broad-band, mode multiplicity of many of their frequency (power) spectra. In addition, the sequence locations of the matching modes are lost in this transformation. We make new use of three techniques to address these difficulties: (i) eigenfunction construction from the linear 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 hydrophobic free energy sequences or their eigenfunctions; and (iii) discrete, best bases, trigonometric wavelet transformations, which confirm 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 covariance matrix of a transmembrane receptor sequence locates the same transmembrane segments seen in n-block-averaged hydropathy plots while leaving the remaining hydrophobic modes unsmoothed and available for further analyses as secondary eigenfunctions. In these receptor eigenfunctions, we find a set of statistical wavelength matches between peptide ligands and their G-protein and tyrosine kinase coupled receptors, ranging across examples from 13.10 amino acids in acid fibroblast growth factor to 2.18 residues in corticotropin releasing factor. We find that the wavelet-located receptor modes in the extracellular loops are compatible with studies of receptor 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 energy eigenfunctions and their transformations offer new quantitative physical homologies in database searches for peptide-receptor matches.

A novel assay for drug-DNA binding mode, affinity, and exclusion number: scanning force microscopy.

Determining the mode-of-binding of a DNA ligand is not always straightforward. Here, we establish a scanning force microscopic assay for mode-of-binding that is (i) direct: lengths of individual DNA-ligand complexes are directly measured; (ii) rapid: there are no requirements for staining or elaborate sample preparation; and (iii) unambiguous: an observed increase in DNA length upon addition of a ligand is definitive evidence for an intercalative mode-of-binding. Mode-of-binding, binding affinity, and site-exclusion number are readily determined from scanning force microscopy measurements of the changes in length of individual drug-DNA complexes as a function of drug concentration. With this assay, we resolve the ambiguity surrounding the mode of binding of 2,5-bis(4-amidinophenyl) furan (APF) to DNA and show that it binds to DNA by nonintercalative modes. APF is a member of an important class of aromatic dicationic drugs that show significant activity in the treatment of Pneumocystis carinii pneumonia, an opportunistic infection that is the leading cause of death in AIDS patients.