Developing an in silico model of the modulation of base excision repair using methoxyamine for more targeted cancer therapeutics

Gurkan-Cavusoglu, Evren; Avadhani, Sriya; Liu, Huan; Kinsella, Timothy J.; Loparo, Kenneth A.

doi:10.1049/iet-syb.2011.0045

Cited by 4 publications

(2 citation statements)

References 59 publications

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“…MX is highly specific and rapidly binds to abasic sites on DNA. The MX-AP-site ligation is strong and stable [67]. Therefore, the phenotype of melanin production blockage is prolonged (10 days), and it is observed even in response to a short time of drug exposure.…”

Section: Discussionmentioning

confidence: 99%

Base Excision Repair AP-Endonucleases-Like Genes Modulate DNA Damage Response and Virulence of the Human Pathogen Cryptococcus neoformans

Oliveira

Hurtado

Gomes

et al. 2021

JoF

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Pathogenic microbes are exposed to a number of potential DNA-damaging stimuli during interaction with the host immune system. Microbial survival in this situation depends on a fine balance between the maintenance of DNA integrity and the adaptability provided by mutations. In this study, we investigated the association of the DNA repair response with the virulence of Cryptococcus neoformans, a basidiomycete that causes life-threatening meningoencephalitis in immunocompromised individuals. We focused on the characterization of C. neoformansAPN1 and APN2 putative genes, aiming to evaluate a possible role of the predicted Apurinic/apyrimidinic (AP) endonucleases 1 and 2 of the base excision repair (BER) pathway on C. neoformans response to stress conditions and virulence. Our results demonstrated the involvement of the putative AP-endonucleases Apn1 and Apn2 in the cellular response to DNA damage induced by alkylation and by UV radiation, in melanin production, in tolerance to drugs and in virulence of C. neoformans in vivo. We also pointed out the potential use of DNA repair inhibitor methoxy-amine in combination with conventional antifungal drugs, for the development of new therapeutic approaches against this human fungal pathogen. This work provides new information about the DNA damage response of the highly important pathogenic fungus C. neoformans.

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Section: Discussionmentioning

confidence: 99%

Base Excision Repair AP-Endonucleases-Like Genes Modulate DNA Damage Response and Virulence of the Human Pathogen Cryptococcus neoformans

Oliveira

Hurtado

Gomes

et al. 2021

JoF

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“…There are several recent studies on drug sensitivity and anti‐cancer drug response prediction [15, 16]. In [17], random forest (RF) regression technique was used for obtaining a single drug or a group of drugs for certain cancer.…”

Section: Introductionmentioning

confidence: 99%

Prediction of drug synergy score using ensemble based differential evolution

Singh

Rana

Singh

2019

IET Systems Biology

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Prediction of drug synergy score is an ill-posed problem. It plays an efficient role in the medical field for inhibiting specific cancer agents. An efficient regression-based machine learning technique has an ability to minimise the drug synergy prediction errors. Therefore, in this study, an efficient machine learning technique for drug synergy prediction technique is designed by using ensemble based differential evolution (DE) for optimising the support vector machine (SVM). Because the tuning of the attributes of SVM kernel regulates the prediction precision. The ensemble based DE employs two trial vector generation techniques and two control attributes settings. The initial generation technique has the best solution and the other is without the best solution. The proposed and existing competitive machine learning techniques are applied to drug synergy data. The extensive analysis demonstrates that the proposed technique outperforms others in terms of accuracy, root mean square error and coefficient of correlation.

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Modelling the impact of cellular variation on flux through base excision DNA repair.

Healing¹

2020

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Developing an in silico model of the modulation of base excision repair using methoxyamine for more targeted cancer therapeutics

Cited by 4 publications

References 59 publications

Base Excision Repair AP-Endonucleases-Like Genes Modulate DNA Damage Response and Virulence of the Human Pathogen Cryptococcus neoformans

Base Excision Repair AP-Endonucleases-Like Genes Modulate DNA Damage Response and Virulence of the Human Pathogen Cryptococcus neoformans

Prediction of drug synergy score using ensemble based differential evolution

Modelling the impact of cellular variation on flux through base excision DNA repair.

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