2019
DOI: 10.1021/acs.jpcb.9b06489
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Molecular Dynamics Study of One-Base Deletion Duplexes Containing the Major DNA Adduct Formed by Ochratoxin A: Effects of Sequence Context and Adduct Ionization State on Lesion Site Structure and Mutagenicity

Abstract: Ochratoxin A (OTA) is a ubiquitous food toxin associated with chronic nephropathy in humans and renal carcinogenicity in rodents. The mutational spectra of cells exposed to OTA reveal that one-base deletions comprise the largest percentage (73%) of the total mutations that occur upon OTA exposure. To contribute toward understanding the prevalence of OTA-induced one-base deletion mutations, the present work uses molecular dynamics (MD) simulations to analyze the conformational preferences of one-base deletion d… Show more

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Cited by 7 publications
(5 citation statements)
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“…Scheme 1 ) are very small and positioned around RMSF values 1.17 ± 0.24, 1.74 ± 0.29, and 1.69 ± 0.29 Å, respectively. We may thus conclude that, in accordance with previous studies of DNA oligonucleotides, 56 1 μs simulations ensure convergence of key DNA structural parameters, and reliable conclusions can be drawn.…”
Section: Resultssupporting
confidence: 87%
See 1 more Smart Citation
“…Scheme 1 ) are very small and positioned around RMSF values 1.17 ± 0.24, 1.74 ± 0.29, and 1.69 ± 0.29 Å, respectively. We may thus conclude that, in accordance with previous studies of DNA oligonucleotides, 56 1 μs simulations ensure convergence of key DNA structural parameters, and reliable conclusions can be drawn.…”
Section: Resultssupporting
confidence: 87%
“…Furthermore, the standard deviation in the RMSD over the last 0.1 μs simulation is only 0.40 Å (Figure a), showing that the relative structural change is very small. Therefore, in accordance with previous studies of natural and damaged DNA, detailed structural analysis was carried out on the last 0.1 μs simulation. In addition, root-mean-square fluctuation (RMSF) values were calculated to investigate how much the individual nucleobases moved during the simulations .…”
Section: Resultsmentioning
confidence: 99%
“…193,197−202 Even so, a combination of structural (NMR and crystal structure analyses) and computation studies carried out by Geacintov, Patel, Stone, Broyde, Wetmore and others has provided much needed links between the structure and conformation of a lesion in different sequences and the biological effects of that lesion. 51,192,202,203 There are only two studies in which context-dependent repair and replication have been studied in all three-base contexts. Delaney and Essigmann constructed a panel of 16 phage genomes in which O 6 -mG was placed in each of the 16 possible three-base contexts (e.g., 5′-NXN-3′, where X is O 6 -mG and N is any base).…”
Section: Sequence Context-dependent Mutagenesismentioning
confidence: 99%
“…Nucleotide excision repair susceptibility of the (+)- trans-anti -[BP]- N 2 -dG adduct in several sequences shows that dynamic periodic denaturation of Watson–Crick base pairing on the 5′ flank of the lesion provides a strong recognition signal for repair in these sequences. , Biophysical studies showing marked local thermodynamic destabilization are consistent with this notion. Mutagenesis of the (+)- trans-anti -[BP]- N 2 -dG adduct also is context dependent. , Mutagenesis of the oxidative DNA damages 8-OxoG and Fapy·dG in human cells is also strongly dependent on DNA sequence context. , However, these and similar studies with other DNA lesions have been carried out in a limited number of DNA sequences. , Even so, a combination of structural (NMR and crystal structure analyses) and computation studies carried out by Geacintov, Patel, Stone, Broyde, Wetmore and others has provided much needed links between the structure and conformation of a lesion in different sequences and the biological effects of that lesion. ,,, …”
Section: Site-specific Lesion-derived Mutagenesismentioning
confidence: 99%
“…Nevertheless, computational chemistry has proven to be an effective tool to complement experimental studies for a wide range of lesions, 69 including those arising from AAs, 6,70,71 PAH, 6,70,72–74 aristolochic acids, 75–78 phenols, 79–82 and ochratoxin A. 83–87 This perspective further highlights the unique role computational chemistry can play in deciphering the mutagenicity of DNA adducts by concentrating on tobacco-derived DNA lesions with varying sizes, flexibilities, parent nucleobases, and damage positions. Specifically, the usefulness of computational approaches and models that systematically vary in scale and complexity is emphasized.…”
Section: Introductionmentioning
confidence: 99%