Literature DB >> 31240406

Molecular modeling and computational study of the chiral-dependent structures and properties of self-assembling diphenylalanine peptide nanotubes.

Vladimir S Bystrov1, Pavel S Zelenovskiy2,3, Alla S Nuraeva2, Svitlana Kopyl4, Olga A Zhulyabina5, Vsevolod A Tverdislov5.   

Abstract

The structure and properties of diphenylalanine (FF) peptide nanotubes (PNT) based on phenylalanine were investigated by various molecular modeling methods. The main approach employed semi-empirical quantum-chemical methods (PM3 and AM1). Ab initio, density functional theory methods and molecular mechanical approaches were also used. Both model structures and structures extracted from experimental crystallographic databases obtained by X-ray methods were examined. A comparison of optimized model structures and structures obtained by natural self-assembly revealed important differences depending on chirality: D and L. In both the cases, the effect of chirality on the results of self-assembly of FF PNT was established: PNT based on the D-FF has large condensation energy E0 in the transverse direction, and form thicker and shorter PNT bundles than those based on L-FF. A topological difference was established: model PNT were optimized into structures consisting of rings, while naturally self-assembled PNT consisted of helical turns. The latter nanotubes differed from the original L-FF and D-FF and formed helix structures of different chirality signs in accordance with the alternation rule of chirality due to macromolecule hierarchy. A topological transition between ring and helix turn PNT structures is discussed: self-assembled natural helix structures are favorable and their energy is lower by a value of the order of one to several eV.

Entities:  

Keywords:  Ab initio; Chirality; DFT; Diphenylalanine; Molecular mechanics; Molecular modeling; Peptide nanotube; Self-assembly; Semi-empirical methods; Topology

Mesh:

Substances:

Year:  2019        PMID: 31240406     DOI: 10.1007/s00894-019-4080-x

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  32 in total

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Authors:  Victoria L Sedman; Lihi Adler-Abramovich; Stephanie Allen; Ehud Gazit; Saul J B Tendler
Journal:  J Am Chem Soc       Date:  2006-05-31       Impact factor: 15.419

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  3 in total

1.  Molecular modelling and computational studies of peptide diphenylalanine nanotubes, containing waters: structural and interactions analysis.

Authors:  Vladimir S Bystrov; Sergey V Filippov
Journal:  J Mol Model       Date:  2022-03-05       Impact factor: 1.810

2.  Molecular Dynamics Simulation Study of the Self-Assembly of Phenylalanine Peptide Nanotubes.

Authors:  Vladimir Bystrov; Ilya Likhachev; Alla Sidorova; Sergey Filippov; Aleksey Lutsenko; Denis Shpigun; Ekaterina Belova
Journal:  Nanomaterials (Basel)       Date:  2022-03-03       Impact factor: 5.076

3.  Quantitative Assessment of Chirality of Protein Secondary Structures and Phenylalanine Peptide Nanotubes.

Authors:  Alla Sidorova; Vladimir Bystrov; Aleksey Lutsenko; Denis Shpigun; Ekaterina Belova; Ilya Likhachev
Journal:  Nanomaterials (Basel)       Date:  2021-12-05       Impact factor: 5.076

  3 in total

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