A computational model to predict the structural and functional consequences of missense mutations in O
DNA repair
In silico predictors
MGMT
Mindist
Missense mutations
Molecular dynamics simulations
Journal
Advances in protein chemistry and structural biology
ISSN: 1876-1631
Titre abrégé: Adv Protein Chem Struct Biol
Pays: Netherlands
ID NLM: 101497281
Informations de publication
Date de publication:
2019
2019
Historique:
entrez:
26
2
2019
pubmed:
26
2
2019
medline:
21
12
2019
Statut:
ppublish
Résumé
DNA repair mechanism is a process through which the cell repairs its damaged DNA. Although there are several mechanisms involved in the DNA repair mechanisms, the direct reversal method is the simplest and does not require a reference template, in which the guanine bases are often methylated, and the methyl guanine methyl transferase protein (MGMT) reverses them. The mutations occurring in the MGMT protein might result in dysfunction of such DNA repair mechanism. In this study, we attempted to evaluate the impact of six missense mutations (Y114E, Y114A, R128G, R128A, R128K, and C145A) at three active-site positions (Y114, C145, and R128) as this might hinder the DNA binding to the protein. These six mutations were subjected to pathogenicity, stability, and conservation analysis using online servers such as PredictSNP, iStable, and ConSurf, respectively. From the predictions, all the six mutations were almost predicted to be significant. Considering true positives, true negatives, false positives, and false negatives, three mutations (Y114E, R128G, and C145A) showed "loss of DNA repair activity," and were analyzed further using molecular dynamics simulations (MDS) using GROMACS for 50ns. MDS run showed that the C145A mutant demonstrated higher structural deviation, decreased compactness, and the binding patterns. The Y114E mutant showed almost a null effect from the structural analysis. Finally, the R128G mutant showed structural variations in between the C145A and Y114E mutations of MGMT protein. We believe that the observed findings in this computational approach might further pave a way of providing better treatment measures by understanding the DNA repair mechanisms.
Identifiants
pubmed: 30798937
pii: S1876-1623(18)30078-6
doi: 10.1016/bs.apcsb.2018.11.006
pii:
doi:
Substances chimiques
O(6)-Methylguanine-DNA Methyltransferase
EC 2.1.1.63
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
351-369Informations de copyright
© 2019 Elsevier Inc. All rights reserved.