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2019 | OriginalPaper | Buchkapitel

Elucidation of Scavenging Properties of Nanoparticles in the Prevention of Carcinogenicity Induced by Cigarette Smoke Carcinogens: An In Silico Study

verfasst von : Qazi Mohammad Sajid Jamal, Ali H. Alharbi, Mohtashim Lohani, Mughees Uddin Siddiqui, Varish Ahmad, Anupam Dhasmana, Mohammad Azam Ansari, Mohd. Haris Siddiqui, Kavindra Kumar Kesari

Erschienen in: Networking of Mutagens in Environmental Toxicology

Verlag: Springer International Publishing

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Abstract

Nanotechnology, a science dealing with particles at nano scale, is currently used in many fields including environmental management and medicine for welfare of human being. The economic development and quality of life have been improved through nanotechnology. The Polycyclic aromatic hydrocarbons (PAHs) and other toxicants have higher affinity to scaveng by nanopartilces. The structural properties and surface chemistry of nanoparticles are the players, further, extremely high surface area to volume ratio results in multiple enhancement of many beneficial properties. Hence, we have followed a methodology to compare the binding efficiency of nanoparticles and cigarette smoke carcinogens with selected enzymes involved in DNA repair pathways. The molecular interactions have been accomplished using PatchDock server and interestingly got significant interacting results for our hypothesis. PatchDock results showed nanoparticles could be able to trap cigarette smoke carcinogens efficiently in the cellular system. The highest obtained binding efficiency between 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) versus Single wall carbon nanotube (SWcNT) is 2632 score in contrast with NNK versus Human MDC1 BRCT T2067D in complex (PDB ID: 3K05) shows 2454 score, which means NNK could interact with SWcNT more efficiently than 3K05. Another part of the study shows that the highest binding efficiency 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) versus SWcNT = 2746 score and NNAL versus Titanium dioxide (TiO2) Rutile = 2110 score in contract with NNAL versus Human Thymine DNA Glycosylase(PDB ID: 2RBA) shows 1696 score. It is also signified that NNAL interact with SWcNT and TiO2 rutile more efficiently than 2RBA. The results clearly signifying that SWcNT/TiO2 are binding with NNK/NNAL more efficiently than biomolecules.

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Metadaten
Titel
Elucidation of Scavenging Properties of Nanoparticles in the Prevention of Carcinogenicity Induced by Cigarette Smoke Carcinogens: An In Silico Study
verfasst von
Qazi Mohammad Sajid Jamal
Ali H. Alharbi
Mohtashim Lohani
Mughees Uddin Siddiqui
Varish Ahmad
Anupam Dhasmana
Mohammad Azam Ansari
Mohd. Haris Siddiqui
Kavindra Kumar Kesari
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-96511-6_10