ArticleMolecules (Basel, Switzerland)2018
In Silico Prediction of O⁶-Methylguanine-DNA Methyltransferase Inhibitory Potency of Base Analogs with QSAR and Machine Learning Methods.
Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 39 citations in OpenAlex.
- Discovery of potential RSV fusion protein inhibitors from benzimidazole derivatives using QSAR, molecular docking, and ADMET evaluation methods.Molecular diversity · 2026Article
- GenoITS: Implementation of an Integrated Testing Strategy workflow for genotoxicity using QSAR-based tools.NAM journal · 2025Article
- QSAR Regression Models for Predicting HMG-CoA Reductase Inhibition.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR).Polymers · 2024Article
- Article
- QSAR and Chemical Read-Across Analysis of 370 Potential MGMT Inactivators to Identify the Structural Features Influencing Inactivation Potency.Pharmaceutics · 2023Article
- Graph-Based Feature Selection Approach for Molecular Activity Prediction.Journal of chemical information and modeling · 2022Article
- Discovery of Kinase and Carbonic Anhydrase Dual Inhibitors by Machine Learning Classification and Experiments.Pharmaceuticals (Basel, Switzerland) · 2022Article
- Prediction and Screening Model for Products Based on Fusion Regression and XGBoost Classification.Computational intelligence and neuroscience · 2022Article
- Recent progress in DNA methyltransferase inhibitors as anticancer agents.Frontiers in pharmacology · 2022Review
- Influence of feature rankers in the construction of molecular activity prediction models.Journal of computer-aided molecular design · 2020Article
- Development of Multi-Target Chemometric Models for the Inhibition of Class I PI3K Enzyme Isoforms: A Case Study Using QSAR-Co Tool.International journal of molecular sciences · 2019Article
- QSAR Prediction Model to Search for Compounds with Selective Cytotoxicity Against Oral Cell Cancer.Medicines (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
O⁶-methylguanine-DNA methyltransferase (MGMT), a unique DNA repair enzyme, can confer resistance to DNA anticancer alkylating agents that modify the O⁶-position of guanine. Thus, inhibition of MGMT activity in tumors has a great interest for cancer researchers because it can significantly improve the anticancer efficacy of such alkylating agents. In this study, we performed a quantitative structure activity relationship (QSAR) and classification study based on a total of 134 base analogs related to their ED
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.