Computational study on bindingof naturally occurring aromatic and cyclic acids with graphine, 2019

Atlanta University and Clark Atlanta University Theses and Dissertations
Computational study on bindingof naturally occurring aromatic and cyclic acids with graphine, 2019
Daggag, Dalia
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Degrees, Academic
Dissertations, Academic
United States, Georgia, Fulton County, Atlanta, 33.749, -84.38798
Degree Type: dissertation
Degree Name: Doctor of Philosophy (PhD)
Date of Degree: 2019
Granting Institution: Clark Atlanta University
Department/ School: Department of Chemistry
The knowledge on the conformations of amino acids is essential to understand the biochemical behaviors and physical properties of proteins. Comprehensive computational study is focused to understand the conformational landscape of three aromatic amino acids (AAAs): tryptophan, tyrosine, and phenylalanine. Three different density functionals (B3LYP, M06-2X and ?B97X-D) were used with two basis sets of 6-31G(d) and 6-31+G(d,p) for geometry optimizations of the conformers of AAAs followed by the vibrational frequencies. The goal was to identify the right choice of density functional theory (DFT) level for conformational analysis of amino acids by comparing the computational data against the available experimental results. Calculated infrared (IR) frequency values indicated that ?B97X-D/6-31+G(d,p) level is less favorable than other DFT levels in case of O-H and N-H stretching frequencies for the conformers of AAAs. The C=O stretching frequencies at different computational levels were in good agreement with the experimental results. Interactions of AAAs (tryptophan, tyrosine, and phenylalanine) and two cyclic amino acids (histidine and proline) individually with two finite-sized graphene sheets (C62H20 and C186H36) were explored using M06-2X/6-31G(d) level. Computational investigations of the binding of amino acids with graphene provide knowledge for designing of new graphene-based biological/biocompatible materials. Selected conformers for each amino acid with different orientations on the surface of graphene were examined. The purpose of computational study on graphene-amino acids interactions was to identify the preferred conformer of amino acid to bind on graphene as well as to find the influence of amino acid binding on the band gap of graphene. Different conformers of AAAs generally prefer parallel orientation through ?-? interactions to bind with graphene. However, bent orientation is more preferred over parallel to bind on the surface of graphene in case of conformer having relative energy approximately equal to 5 kcal/mol for all three AAAs. Histidine generally exhibits higher binding affinity than proline to form complex with graphene. The binding energies in the aqueous medium were slightly lower than those obtained in the gas phase with some exceptions. The adsorption of amino acids did not affect the band gap of graphene.
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Clark Atlanta University
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