A 150 ns all atom molecular dynamics simulation of a RNT porin in a lipid bilayer surrounded by an electrolyte solution was done to investigate the weak selectivity for potassium ions. It revealed that there is a preferential localization of the potassium ions in the center of the transmembrane channel and the chlorine ions near the walls of the channel. When the interactions of the α-CD were explored, the α-CD could not go through the RNT porin, but interacted with the end of the RNT porin in 3 orientations. Similarly, a 2014 paper found that molecular dynamics studies on ion transport through CNTs demonstrate how selectivity between cation and anion permeation can be achieved by functionalizing the ends of the CNT with -COOH groups. The -COOH altered the hydrophobicity of the inner channel, allowing for faster permeation of water and methanol in a continuous flow More work is needed to examine the controllable chemical and physical properties of RNT porins to enhance ion selectivity for water purification purposes. Some of the chemical and physical properties of RNTs have been studied before. 3D-RISM and experimental analyses (eg. scanning electron microscope (SEM), transmission electro microscope (TEM), atomic force microscope (AFM), scanning tunneling microscopy (STM)) have been utilized to study the optimal structure of the RNT hierarchy. The nanotube's structure, while dynamic, is formed by a stacking of the rosette rings such that there is a right handed helical pitch. Based on the 3D-RISM calculations and all atom molecular dynamics simulations with the OPLS 2005 FF, the right-handed stacked nanotube had the lowest free energy during entropically driven self assembly in water. However, there are limitations of 3D-RISM calculations and AA MD simulations. 3D-RISM calculations describe a molecular liquid based on the orientations and separations of polyatomic molecules. Although 3D-RISM starts from an explicit model and an AA FF, like OPLS 2005, it predicts the solvation structure and thermodynamics from first principles of statistical mechanics. To test the predictions, AA simulations can be done to explore phenomena at certain time and length scales, which have their own limitations. Phenomena at longer time scales, in the microseconds and longer, and at larger length scales, in micrometers and larger, are computationally expensive to simulate in AA simulations.