{"title":"DFT insights into assembling [8]MCPP with [14]pyridine nanobelts for amino acid sensing","authors":"Ahmad Khaleel AlOmari","doi":"10.1016/j.jmgm.2025.109056","DOIUrl":null,"url":null,"abstract":"<div><div>The progress in designing nanoscale electronic sensors for detecting amino acids (AAs) has attracted considerable interest due to their ability to enable label-free and real-time detection. In this study, the [14]pyridine@[8]MCPP system formed by assembling [8]cycloparaphenylene ([8]MCPP) with [14]pyridine methylene-bridged nanobelts was investigated using density functional theory (DFT) calculations as a potential sensor for five amino acids: glycine (Gly), alanine (Ala), threonine (Thr), leucine (Leu), and aspartic acid (Asp). The sensing capabilities of the assembled structure were evaluated through various analyses, including frontier molecular orbital (FMO), density of states (DOS), quantum theory of atoms in molecules (QTAIM), non-covalent interactions (NCI), and electron density difference (EDD). The energy gap of the [14]pyridine@[8]MCPP assembly was influenced by the presence of amino acids, with the most significant change (−8.75 %) observed in the [14]pyridine@[8]MCPP/Asp complex. Furthermore, QTAIM and NCI analyses indicated that the interactions between AAs and the [14]pyridine@[8]MCPP assembly are primarily governed by van der Waals (vdW) forces. The short recovery times (3.47 × 10<sup>−10</sup> to 1.27 × 10<sup>−6</sup> s) and favorable sensor responses (0.09–0.17) of the [14]pyridine@[8]MCPP/AA complexes at 298 K suggest that this assembly could serve as an effective material for detecting amino acids. These findings underscore the potential of assembled nanostructures as valuable candidates for amino acid sensing applications.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"138 ","pages":"Article 109056"},"PeriodicalIF":2.7000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics & modelling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1093326325001160","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The progress in designing nanoscale electronic sensors for detecting amino acids (AAs) has attracted considerable interest due to their ability to enable label-free and real-time detection. In this study, the [14]pyridine@[8]MCPP system formed by assembling [8]cycloparaphenylene ([8]MCPP) with [14]pyridine methylene-bridged nanobelts was investigated using density functional theory (DFT) calculations as a potential sensor for five amino acids: glycine (Gly), alanine (Ala), threonine (Thr), leucine (Leu), and aspartic acid (Asp). The sensing capabilities of the assembled structure were evaluated through various analyses, including frontier molecular orbital (FMO), density of states (DOS), quantum theory of atoms in molecules (QTAIM), non-covalent interactions (NCI), and electron density difference (EDD). The energy gap of the [14]pyridine@[8]MCPP assembly was influenced by the presence of amino acids, with the most significant change (−8.75 %) observed in the [14]pyridine@[8]MCPP/Asp complex. Furthermore, QTAIM and NCI analyses indicated that the interactions between AAs and the [14]pyridine@[8]MCPP assembly are primarily governed by van der Waals (vdW) forces. The short recovery times (3.47 × 10−10 to 1.27 × 10−6 s) and favorable sensor responses (0.09–0.17) of the [14]pyridine@[8]MCPP/AA complexes at 298 K suggest that this assembly could serve as an effective material for detecting amino acids. These findings underscore the potential of assembled nanostructures as valuable candidates for amino acid sensing applications.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.