An attempt to modulate the microporous diffusion of a model polypeptide by altering its secondary structure

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Abstract

The purpose of the present study was to determine whether intentional alteration of the secondary structure of a model polypeptide, conantokin-G, influenced the rate and extent of aqueous pore diffusion across a synthetic microporous membrane. Use of a microporous synthetic membrane allowed for analysis of polypeptide transport without the confounding variables of protein binding, acid- and/or enzyme-mediated degradation, endocytotic uptake, and enzymatic inactivation associated with a biological membrane. Conantokin-G was intentionally changed from its native random coil structure to the α-helix structure using calcium, and both structures were verified using circular dichroism. The α-helix structure of conantokin-G was retained even after additional free calcium was removed by equilibrium dialysis. Over the concentration range of 1.25 to 20 mM, there was a linear relationship between the solution calcium concentration and the percent of the α-helix conformer present. The apparent permeability, the apparent aqueous diffusion coefficient with and without inclusion of the Renkin function, and the hydrodynamic radii estimated by diffusion and a computer-software program were calculated for the random coil and α-helix structures of conantokin-G. Calcium-mediated conversion of conantokin-G to its α-helix structure did not significantly (p > .05) change its apparent permeability across a microporous membrane. It is suggested that perhaps complete conversion to the α-helix structure of only a fraction of the conantokin-G molecules (only 0.45 or 45% of the molecules can be converted to the α-helix structure at Ca2+ concentrations > 20 mM) may have limited the extent of transport of the α-helix conformer.

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Johnston, T. P., Salamat-Miller, N. T., Alur, H. H., & Mitra, A. K. (2003). An attempt to modulate the microporous diffusion of a model polypeptide by altering its secondary structure. Drug Delivery: Journal of Delivery and Targeting of Therapeutic Agents, 10(2), 65–72. https://doi.org/10.1080/713840357

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