Biomedical subjects
Publications and source records attributed to Eric A Price.
A macrocyclic inhibitor of beta-secretase was designed by covalently cross-linking the P1 and P3 side chains of an isophthalamide-based inhibitor. Macrocyclization resulted in significantly improved potency and physical properties when compared to the initial lead structures. More importantly, these macrocyclic inhibitors also displayed in vivo amyloid lowering when dosed in a murine model.
Extracellular deposits of aggregated amyloid-beta (Abeta) peptides are a hallmark of Alzheimer disease; thus, inhibition of Abeta production and/or aggregation is an appealing strategy to thwart the onset and progression of this disease. The release of Abeta requires processing of the amyloid precursor protein (APP) by both beta- and gamma-secretase. Using an assay that incorporates full-length recombinant APP as a substrate for beta-secretase (BACE), we have identified a series of compounds that inhibit APP processing, but do not affect the cleavage of peptide substrates by BACE1. These molecules also inhibit the processing of APP and Abeta by BACE2 and selectively inhibit the production of Abeta(42) species by gamma-secretase in assays using CTF99. The compounds bind directly to APP, likely within the Abeta domain, and therefore, unlike previously described inhibitors of the secretase enzymes, their mechanism of action is mediated through APP. These studies demonstrate that APP binding agents can affect its processing through multiple pathways, providing proof of concept for novel strategies aimed at selectively modulating Abeta production.
We present an algorithm for the computation of 2'-deoxyribose-phosphodiester backbone conformations that are stereochemically compatible with a given arrangement of nucleic acid bases in a DNA structure. The algorithm involves the sequential computation of 2'-deoxyribose and phosphodiester conformers (collectively referred to as a backbone 'segment'), beginning at the 5'-end of a DNA strand. Computation of the possible segment conformations is achieved by the initial creation of a fragment library, with each fragment representing a set of bond lengths, bond angles and torsion angles. Following exhaustive searching of sugar conformations, each segment conformation is reduced to a single vector, defined by a specific distance, angle and torsion angle, that allows calculation of the O(1)' position. A given 'allowed' conformation of a backbone segment is determined based on its compatibility with the base positions and with the position of the preceding backbone segment. Initial computation of allowable segment conformations of a strand is followed by the determination of continuous backbone solutions for the strand, beginning at the 3'-end. The algorithm is also able to detect repeating segment conformations that arise in structures containing geometrically repeating dinucleotide steps. To illustrate the utility and properties of the algorithm, we have applied it to a series of experimental DNA structures. Regardless of the conformational complexity of these structures, we are able to compute backbone conformations for each structure. Hence, the algorithm, which is currently implemented within a new computer program NASDAC (Nucleic Acids: Structure, Dynamics and Conformation), should have generally applicability to the computation of DNA structures.