SIMULATION AND COMPUTER STUDY OF THE CHIRAL PROPERTIES OF PEPTIDE NANOTUBES BASED ON DILEUCINE

Author:

Bystrov V.1,Filippov S.1,Likhachev I.1,Ledeneva O.2,Belova E.2

Affiliation:

1. Institute of Mathematical Problems of Biology, Keldysh Institute of Applied Mathematics of RAS

2. Lomonosov Moscow State University

Abstract

The paper presents calculations of the dipole, polar, and electronic properties of helical nanostructures based on dileucine (LL) of different chirality (L, D) using the AM1, PM3 methods from the HyperChem software package. It has been shown that the physical properties of dileucine-based nanotubes are close to those of diphenylalanine nanotubes (FF PNT). For nanostructures based on dileucine of left chirality L-LL, the existing experimental data make it possible to isolate from crystallographic structures molecular nanostructures of helical nanotubes that have right chirality D, which corresponds to the law of chirality change upon transition to the next level of self-organization. Model helical structures of nanotubes based on dileucine of right chirality D-LL were also constructed, for which there are no experimental data. Calculations of chirality by the method of mixed vector-scalar product of dipole moments of dipeptides showed that the law of changing the type of chirality is also valid for model helical nanotubes based on the D-LL. These results can be the basis for the synthesis of new experimental nanostructures based on right-handed dipeptides.

Publisher

RIOR Publishing Center

Reference14 articles.

1. Bystrov V.S., Zelenovskiy P.S., Nuraeva A.S. et al. Chiral Peculiar Properties of Self-Organization of Diphenylalanine Peptide Nanotubes: Modeling of Structure and Properties. Math. Biol. Bioinform., 2019, vol. 14, pp. 94-125., Bystrov V.S., Zelenovskiy P.S., Nuraeva A.S. et al. Chiral Peculiar Properties of Self-Organization of Diphenylalanine Peptide Nanotubes: Modeling of Structure and Properties. Math. Biol. Bioinform., 2019, vol. 14, pp. 94-125.

2. Bystrov V.S., Filippov S.V. Molecular modelling and computational studies of peptide diphenylalanine nanotubes, containing waters: Structural and interactions analysis. J. Mol. Model., 2022, vol. 28, pp. 1-24., Bystrov V.S., Filippov S.V. Molecular modelling and computational studies of peptide diphenylalanine nanotubes, containing waters: Structural and interactions analysis. J. Mol. Model., 2022, vol. 28, pp. 1-24.

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5. Bystrov V., Sidorova A., Lutsenko A. et al. Modeling of Self-Assembled Peptide Nanotubes and Determination of Their Chirality Sign Based on Dipole Moment Calculations. Nanomaterials, 2021, vol. 11, p. 2415., Bystrov V., Sidorova A., Lutsenko A. et al. Modeling of Self-Assembled Peptide Nanotubes and Determination of Their Chirality Sign Based on Dipole Moment Calculations. Nanomaterials, 2021, vol. 11, p. 2415.

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