Blanco González, AlexandreCalvelo Souto, MartínGarrido, Pablo F.Amorín López, ManuelGranja Guillán, Juan RamónPiñeiro Guillén, ÁngelGarcía Fandiño, Rebeca2025-01-162025-01-162021-07-27Blanco-González A, Calvelo M, Garrido PF, Amorín M, Granja JR, Piñeiro Á and Garcia-Fandino R (2021) Transmembrane Self-Assembled Cyclic Peptide Nanotubes Based on α-Residues and Cyclic δ-Amino Acids: A Computational Study. Front. Chem. 9:704160. doi: 10.3389/fchem.2021.704160https://hdl.handle.net/10347/38617Self-assembling cyclic peptide nanotubes have been shown to function as synthetic, integral transmembrane channels. The combination of natural and nonnatural aminoacids in the sequence of cyclic peptides enables the control not only of their outer surface but also of the inner cavity behavior and properties, affecting, for instance, their permeability to different molecules including water and ions. Here, a thorough computational study on a new class of self-assembling peptide motifs, in which δ-aminocycloalkanecarboxylic acids are alternated with natural α-amino acids, is presented. The presence of synthetic δ-residues creates hydrophobic regions in these α,δ-SCPNs, which makes them especially attractive for their potential implementation in the design of new drug or diagnostic agent carrier systems. Using molecular dynamics simulations, the behavior of water molecules, different ions (Li+, Na+, K+, Cs+, and Ca2+), and their correspondent counter Cl− anions is extensively investigated in the nanoconfined environment. The structure and dynamics are mutually combined in a diving immersion inside these transmembrane channels to discover a fascinating submarine nanoworld where star-shaped water channels guide the passage of cations and anions therethrough.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Confined waterIon transport across lipid membraneMolecular dynamics simulationSelf-assembling cyclic peptide nanotubesTransmembrane channels2306 Química orgánicaTransmembrane Self-Assembled Cyclic Peptide Nanotubes Based on α-Residues and Cyclic δ-Amino Acids: A Computational Studyjournal article10.3389/fchem.2021.704160open access