In silico approach in the evaluation of pro-inflammatory potential of polycyclic aromatic hydrocarbons and volatile organic compounds through binding affinity to the human toll-like receptor 4

Polycyclic aromatic hydrocarbons (PAHs) and volatile organic compounds (VOCs) are widespread across the globe as they exist in the environment in complex mixtures which could initiate respiratory illnesses. In this paper, the proinflammatory potential of various carcinogenic PAHs and VOCs were evalu...

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Main Authors: Cabral, Marie Beatriz D.C., Dela Cruz, Celine Joy J., Sato, Yumika A.
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Language:English
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Online Access:https://animorepository.dlsu.edu.ph/etdb_physics/18
https://animorepository.dlsu.edu.ph/context/etdb_physics/article/1001/viewcontent/2022_Cabral_DelaCruz_Sato_In_silico_approach_in_the_evaluation_of_pro_inflammatory_Full_text.pdf
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spelling oai:animorepository.dlsu.edu.ph:etdb_physics-10012023-02-27T06:02:13Z In silico approach in the evaluation of pro-inflammatory potential of polycyclic aromatic hydrocarbons and volatile organic compounds through binding affinity to the human toll-like receptor 4 Cabral, Marie Beatriz D.C. Dela Cruz, Celine Joy J. Sato, Yumika A. Polycyclic aromatic hydrocarbons (PAHs) and volatile organic compounds (VOCs) are widespread across the globe as they exist in the environment in complex mixtures which could initiate respiratory illnesses. In this paper, the proinflammatory potential of various carcinogenic PAHs and VOCs were evaluated using an in silico approach. For the molecular docking, the structures of the ligands were obtained from PubChem, while the receptor was obtained from RCSB Protein Data Bank. Meanwhile, AutoDock Vina was utilized to obtain the best docking poses, and binding affinity value (kcal/mol) for each PAH and VOC bound to the human toll-like receptor 4 (TLR4). Indeno(1,2,3-cd)pyrene, benzo(ghi)perylene, and benzo[a]pyrene had the highest binding affinity values among the 14 PAHs studied. For the VOCs, benzene,1,4-dichlorobenzene, and styrene had the highest binding affinity with values of -3.6, -3.9, and -4.6 kcal/mol, respectively. Compounds could potentially induce inflammation if the affinities are higher than LPS (-4.1 kcal/mol), while compounds with lower affinity are less likely to cause inflammation. Statistical analysis and RMSF graphs for the molecular dynamics demonstrated that the receptor, TLR4, will maintain its structure despite ligand interactions. Overall, the structure of the TLR4 was considered inflexible. Keywords: in silico; molecular docking; molecular dynamics; TLR4; PAHs; VOCs; binding affinity; LPS 2022-07-08T07:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etdb_physics/18 https://animorepository.dlsu.edu.ph/context/etdb_physics/article/1001/viewcontent/2022_Cabral_DelaCruz_Sato_In_silico_approach_in_the_evaluation_of_pro_inflammatory_Full_text.pdf Physics Bachelor's Theses English Animo Repository Polycyclic aromatic hydrocarbons Volatile organic compounds Molecular dynamics Physics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Polycyclic aromatic hydrocarbons
Volatile organic compounds
Molecular dynamics
Physics
spellingShingle Polycyclic aromatic hydrocarbons
Volatile organic compounds
Molecular dynamics
Physics
Cabral, Marie Beatriz D.C.
Dela Cruz, Celine Joy J.
Sato, Yumika A.
In silico approach in the evaluation of pro-inflammatory potential of polycyclic aromatic hydrocarbons and volatile organic compounds through binding affinity to the human toll-like receptor 4
description Polycyclic aromatic hydrocarbons (PAHs) and volatile organic compounds (VOCs) are widespread across the globe as they exist in the environment in complex mixtures which could initiate respiratory illnesses. In this paper, the proinflammatory potential of various carcinogenic PAHs and VOCs were evaluated using an in silico approach. For the molecular docking, the structures of the ligands were obtained from PubChem, while the receptor was obtained from RCSB Protein Data Bank. Meanwhile, AutoDock Vina was utilized to obtain the best docking poses, and binding affinity value (kcal/mol) for each PAH and VOC bound to the human toll-like receptor 4 (TLR4). Indeno(1,2,3-cd)pyrene, benzo(ghi)perylene, and benzo[a]pyrene had the highest binding affinity values among the 14 PAHs studied. For the VOCs, benzene,1,4-dichlorobenzene, and styrene had the highest binding affinity with values of -3.6, -3.9, and -4.6 kcal/mol, respectively. Compounds could potentially induce inflammation if the affinities are higher than LPS (-4.1 kcal/mol), while compounds with lower affinity are less likely to cause inflammation. Statistical analysis and RMSF graphs for the molecular dynamics demonstrated that the receptor, TLR4, will maintain its structure despite ligand interactions. Overall, the structure of the TLR4 was considered inflexible. Keywords: in silico; molecular docking; molecular dynamics; TLR4; PAHs; VOCs; binding affinity; LPS
format text
author Cabral, Marie Beatriz D.C.
Dela Cruz, Celine Joy J.
Sato, Yumika A.
author_facet Cabral, Marie Beatriz D.C.
Dela Cruz, Celine Joy J.
Sato, Yumika A.
author_sort Cabral, Marie Beatriz D.C.
title In silico approach in the evaluation of pro-inflammatory potential of polycyclic aromatic hydrocarbons and volatile organic compounds through binding affinity to the human toll-like receptor 4
title_short In silico approach in the evaluation of pro-inflammatory potential of polycyclic aromatic hydrocarbons and volatile organic compounds through binding affinity to the human toll-like receptor 4
title_full In silico approach in the evaluation of pro-inflammatory potential of polycyclic aromatic hydrocarbons and volatile organic compounds through binding affinity to the human toll-like receptor 4
title_fullStr In silico approach in the evaluation of pro-inflammatory potential of polycyclic aromatic hydrocarbons and volatile organic compounds through binding affinity to the human toll-like receptor 4
title_full_unstemmed In silico approach in the evaluation of pro-inflammatory potential of polycyclic aromatic hydrocarbons and volatile organic compounds through binding affinity to the human toll-like receptor 4
title_sort in silico approach in the evaluation of pro-inflammatory potential of polycyclic aromatic hydrocarbons and volatile organic compounds through binding affinity to the human toll-like receptor 4
publisher Animo Repository
publishDate 2022
url https://animorepository.dlsu.edu.ph/etdb_physics/18
https://animorepository.dlsu.edu.ph/context/etdb_physics/article/1001/viewcontent/2022_Cabral_DelaCruz_Sato_In_silico_approach_in_the_evaluation_of_pro_inflammatory_Full_text.pdf
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