Inviting C5-Trifluoromethylated Pseudoprolines into Collagen Mimetic Peptides.

Numerous collagen mimetic peptides (CMPs) have been engineered using proline derivatives substituted at their C(3) and/or C(4) position in order to stabilize or functionalize collagen triple-helix mimics. However, no example has been reported so far with C(5) substitutions. Here, we introduce a fluorinated CMP incorporating trifluoromethyl groups at the C(5) position of pseudoproline residues. In tripeptide models, our CD, NMR, and molecular dynamics (MD) studies have shown that, when properly arranged, these residues meet the structural requirements for a triple-helix assembly. Two host-guest CMPs were synthesized and analyzed by CD spectroscopy. The NMR analysis in solution of the most stable confirmed the presence of structured homotrimers that we interpret as triple helices. MD calculations showed that the triple-helix model remained stable throughout the simulation with all six trifluoromethyl groups pointing outward from the triple helix. Pseudoprolines substituted at the C(5) positions appeared as valuable tools for the design of new fluorinated collagen mimetic peptides.

Cu(II) affinity for the Alzheimer's peptide: tyrosine fluorescence studies revisited.

Copper(II) binding to the amyloid-ß peptide has been proposed to be a key event in the cascade leading to Alzheimer's disease. As a direct consequence, the strength of the Cu(II) to Aß interaction, that is, the Cu(II) affinity of Aß, is a very important parameter to determine. Because Aß peptide contain one Tyr fluorophore in its sequence and because Cu(II) does quench Tyr fluorescence, fluorescence measurements appear to be a straightforward way to obtain this parameter. However, this proved to be wrong, mainly because of data misinterpretation in some previous studies that leads to a conflicting situation. In the present paper, we have investigated in details a large set of fluorescence data that were analyzed with a new method taking into account the presence of two Cu(II) sites and the inner-filter effect. This leads to reinterpretation of the published data and to the determination of a unified affinity value in the 10(10) M(-1) range.