TY - JOUR KW - Computer Simulation KW - Protein Folding KW - Thermodynamics KW - Animals KW - Humans KW - Protein Conformation KW - Proteins KW - Alzheimer Disease KW - Amino Acids KW - Prions AU - G. G. Tartaglia AU - A. Cavalli AU - R. Pellarin AU - A. Caflisch AB -
The mechanisms by which peptides and proteins form ordered aggregates are not well understood. Here we focus on the physicochemical properties of amino acids that favor ordered aggregation and suggest a parameter-free model that is able to predict the change of aggregation rates over a large set of natural sequences. Furthermore, the results of the parameter-free model correlate well with the aggregation propensities of a set of peptides designed by computer simulations.
BT - Protein Science C1 - 0058 DA - 2004 Jul DO - 10.1110/ps.04663504 IS - 7 J2 - Protein Sci. LA - eng M3 - Research Article N2 -The mechanisms by which peptides and proteins form ordered aggregates are not well understood. Here we focus on the physicochemical properties of amino acids that favor ordered aggregation and suggest a parameter-free model that is able to predict the change of aggregation rates over a large set of natural sequences. Furthermore, the results of the parameter-free model correlate well with the aggregation propensities of a set of peptides designed by computer simulations.
PY - 2004 SP - 1939 EP - 1941 T2 - Protein Science TI - The role of aromaticity, exposed surface, and dipole moment in determining protein aggregation rates VL - 13 SN - 0961-8368 ER -