Molecular self-assembled helix peptide nanotubes based on some amino acid molecules and their dipeptides: molecular modeling studies.

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-07-08 DOI:10.1007/s00894-024-05995-0
Vladimir S Bystrov
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Abstract

Context: The paper considers the features of the structure and dipole moments of several amino acids and their dipeptides which play an important role in the formation of the peptide nanotubes based on them. The influence of the features of their chirality (left L and right D) and the alpha-helix conformations of amino acids are taken into account. In particular, amino acids with aromatic rings, such as phenylalanine (Phe/F), and branched-chain amino acids (BCAAs)-leucine (Leu/L) and isoleucine (Ile/I)-as well as corresponding dipeptides (diphenylalanine (FF), dileucine (LL), and diisoleucine (II)) are considered. The main features and properties of these dipeptide structures and peptide nanotubes (PNTs), based on them, are investigated using computational molecular modeling and quantum-chemical semi-empirical calculations. Their polar, piezoelectric, and photoelectronic properties and features are studied in detail. The results of calculations of dipole moments and polarization, as well as piezoelectric coefficients and band gap width, for different types of helical peptide nanotubes are presented. The calculated values of the chirality indices of various nanotubes are given, depending on the chirality of the initial dipeptides-the results obtained are consistent with the law of changes in the type of chirality as the hierarchy of molecular structures becomes more complex. The influence of water molecules in the internal cavity of nanotubes on their physical properties is estimated. A comparison of the results of these calculations by various computational methods with the available experimental data is presented and discussed.

Method: The main tool for molecular modeling of all studied nanostructures in this work was the HyperChem 8.01 software package. The main approach used here is the Hartree-Fock (HF) self-consistent field (SCF) with various quantum-chemical semi-empirical methods (AM1, PM3, RM1) in the restricted Hartree-Fock (RHF) and in the unrestricted Hartree-Fock (UHF) approximations. Optimization of molecular systems and the search for their optimal geometry is carried out in this work using the Polak-Ribeire algorithm (conjugate gradient method), which determines the optimized geometry at the point of their minimum total energy. For such optimized structures, dipole moments D and electronic energy levels (such as EHOMO and ELUMO), as well as the band gap Eg = ELUMO - EHOMO, were then calculated. For each optimized molecular structure, the volume was calculated using the QSAR program implemented also in the HyperChem software package.

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基于某些氨基酸分子及其二肽的分子自组装螺旋肽纳米管:分子建模研究。
背景:本文研究了几种氨基酸及其二肽的结构特征和偶极矩,这些特征和偶极矩在以它们为基础形成肽纳米管的过程中发挥着重要作用。本文考虑了氨基酸的手性(左 L 和右 D)特征和α-螺旋构象的影响。特别是考虑了具有芳香环的氨基酸,如苯丙氨酸(Phe/F)、支链氨基酸(BCAAs)--亮氨酸(Leu/L)和异亮氨酸(Ile/I)--以及相应的二肽(二苯丙氨酸(FF)、二亮氨酸(LL)和二异亮氨酸(II))。通过计算分子建模和量子化学半经验计算,研究了这些二肽结构和基于二肽结构的肽纳米管(PNT)的主要特征和特性。详细研究了它们的极性、压电和光电子特性和特征。文中介绍了不同类型螺旋肽纳米管的偶极矩、极化、压电系数和带隙宽度的计算结果。根据初始二肽的手性,给出了各种纳米管的手性指数计算值--得到的结果与分子结构层次变得更加复杂时手性类型的变化规律一致。我们估算了纳米管内腔中的水分子对其物理性质的影响。本文介绍并讨论了各种计算方法的计算结果与现有实验数据的比较:方法:在这项工作中,对所有研究的纳米结构进行分子建模的主要工具是 HyperChem 8.01 软件包。这里使用的主要方法是哈特里-福克(HF)自洽场(SCF)和各种量子化学半经验方法(AM1、PM3、RM1),包括受限哈特里-福克(RHF)和非受限哈特里-福克(UHF)近似。在这项工作中,使用 Polak-Ribeire 算法(共轭梯度法)对分子系统进行了优化,并寻找其最佳几何结构。然后计算出这些优化结构的偶极矩 D 和电子能级(如 EHOMO 和 ELUMO)以及带隙 Eg = ELUMO - EHOMO。对于每种优化后的分子结构,均使用 HyperChem 软件包中的 QSAR 程序进行体积计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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