493
Views
20
CrossRef citations to date
0
Altmetric
Original Article

QSPR studies of 9-aniliioacridine derivatives for their DNA drug binding properties based on density functional theory using statistical methods: Model, validation and influencing factorsFootnote

, , , , &

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (2)

Anis Ul Islam, Hanine Hadni, Ferdausi Ali, Abdelsalam Abuzreda & Sarkar M. A. Kawsar. (2024) Synthesis, antimicrobial activity, molecular docking, molecular dynamics simulation, and ADMET properties of the mannopyranoside derivatives as antimicrobial agents. Journal of Taibah University for Science 18:1.
Read now
Assia Belhassan, Samir Chtita, Tahar Lakhlifi & Mohammed Bouachrine. (2017) QSPR study of the retention/release property of odorant molecules in pectin gels using statistical methods. Journal of Taibah University for Science 11:6, pages 1030-1046.
Read now

Articles from other publishers (18)

Virendra Kumar & Shibsankar Das. (2024) Comparative study of GQ and QG indices as potentially favorable molecular descriptors. International Journal of Quantum Chemistry 124:3.
Crossref
Mahdi Jafari, Tahereh Momeni Isfahani, Fatemeh Shafiei & Masumeh Abdoli Senejani. (2023) QSPR study to predict some of quantum chemical properties of anticancer imidazo[4,5‐b]pyridine derivatives using genetic algorithm multiple linear regression and molecular descriptors . International Journal of Quantum Chemistry 124:1.
Crossref
Hatim Soufi, Mohammed Salah, Said Belaaouad & Mohammed Moutaabbid. (2023) An Insightful Evaluation of Evodiamine Analogs Effect as DNA Topoisomerase I Inhibitors Using QSAR Method. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences 93:3, pages 639-657.
Crossref
Mouna Baassi, Mohamed Moussaoui, Hatim Soufi, Sanchaita Rajkhowa, Ashwani Sharma, Subrata Sinha & Said Belaaouad. (2023) Towards designing of a potential new HIV-1 protease inhibitor using QSAR study in combination with Molecular docking and Molecular dynamics simulations. PLOS ONE 18:4, pages e0284539.
Crossref
Dharmishtha R. Parmar & B. N. Suhagia. (2023) QSAR Study of N-((3-Benzamido-4-oxo-3,4-Dihydroquinazolin 2-yl)methyl)-N-(Substituted) Phenyl Benzamide as Antiulcer Agents. International Journal of Quantitative Structure-Property Relationships 8:1, pages 1-14.
Crossref
Pubalee Sarmah & Ramesh Chandra Deka. (2022) Reactivity of 9-anilinoacridine Derivatives as Potent Anticancer Agents: A DFT Approach. Current Physical Chemistry 12:3, pages 203-215.
Crossref
A. Goudzal, E. Hadaji, M. Bouachrine, H. El Hamdani & A. Ouammou. (2022) QSAR and docking molecular models to predict anti-cancer activity on a series of azacalix [2] arene [2] pyrimidine derivatives as anticancer agents. Materials Today: Proceedings 51, pages 1831-1837.
Crossref
Ossama Daoui, Souad Elkhattabi, Samir Chtita, Rachida Elkhalabi, Hsaine Zgou & Adil Touimi Benjelloun. (2021) QSAR, molecular docking and ADMET properties in silico studies of novel 4,5,6,7-tetrahydrobenzo[D]-thiazol-2-Yl derivatives derived from dimedone as potent anti-tumor agents through inhibition of C-Met receptor tyrosine kinase. Heliyon 7:7, pages e07463.
Crossref
Samir Chtita, Assia Belhassan, Mohamed Bakhouch, Abdelali Idrissi Taourati, Adnane Aouidate, Salah Belaidi, Mohammed Moutaabbid, Said Belaaouad, Mohammed Bouachrine & Tahar Lakhlifi. (2021) QSAR study of unsymmetrical aromatic disulfides as potent avian SARS-CoV main protease inhibitors using quantum chemical descriptors and statistical methods. Chemometrics and Intelligent Laboratory Systems 210, pages 104266.
Crossref
Samir Chtita, Adnane Aouidate, Assia Belhassan, Abdellah Ousaa, Abdelali Idrissi Taourati, Bouhya Elidrissi, Mounir Ghamali, Mohammed Bouachrine & Tahar Lakhlifi. (2020) QSAR study of N -substituted oseltamivir derivatives as potent avian influenza virus H5N1 inhibitors using quantum chemical descriptors and statistical methods . New Journal of Chemistry 44:5, pages 1747-1760.
Crossref
Aqsa Habib, Haq Nawaz Bhatti, Munawar Iqbal, Sadia Asim & Asim Mansha. (2019) 4-Acetamidophenol Binding Mechanism with DNA by UV-Vis and FTIR Techniques Based on Binding Energy, LUMO and HOMO Orbitals and Geometry of Molecule. Zeitschrift für Physikalische Chemie 233:11, pages 1645-1657.
Crossref
Shounak Datta, Vikrant A. Dev & Mario R. Eden. (2019) Using correlation based adaptive LASSO algorithm to develop QSPR of antitumour agents for DNA–drug binding prediction. Computers & Chemical Engineering 122, pages 258-264.
Crossref
A. Belhassan, S. Chtita, T. Lakhlifi & M. Bouachrine. (2019) QSPR Study of the Retention/Release Property of Odorant Molecules in Water, Dairy and Pectin gels. Materials Today: Proceedings 13, pages 621-629.
Crossref
El Ghalia Hadaji, Abdelkarim Ouammou & Mohammed Bouachrine. (2018) QSAR Study of Anthra[1,9-cd]pyrazol-6(2H)-one Derivatives as Potential Anticancer Agents Using Statistical Methods. Advances in Chemistry 2018, pages 1-16.
Crossref
Samir Chtita, Mounir Ghamali, Majdouline Larif, Rachid Hmamouchi, Mohammed Bouachrine & Tahar Lakhlifi. (2017) Quantitative Structure–Activity Relationship Studies of Anticancer Activity for Isatin (1H-indole-2,3-dione) Derivatives Based on Density Functional Theory. International Journal of Quantitative Structure-Property Relationships 2:2, pages 90-115.
Crossref
El Ghalia Hadaji, Mohamed Bourass, Abdelkarim Ouammou & Mohammed Bouachrine. (2017) Organic Compounds Based on (E)-N-Aryl-2-ethene-sulfonamide as Microtubule Targeted Agents in Prostate Cancer: QSAR Study. Advances in Physical Chemistry 2017, pages 1-14.
Crossref
Shounak Datta, Vikrant A. Dev & Mario R. Eden. 2017. 27th European Symposium on Computer Aided Process Engineering. 27th European Symposium on Computer Aided Process Engineering 2767 2772 .
Samir Chtita, Mounir Ghamali, Rachid Hmamouchi, Bouhya Elidrissi, Mohamed Bourass, Majdouline Larif, Mohammed Bouachrine & Tahar Lakhlifi. (2016) Investigation of Antileishmanial Activities of Acridines Derivatives against Promastigotes and Amastigotes Form of Parasites Using Quantitative Structure Activity Relationship Analysis. Advances in Physical Chemistry 2016, pages 1-16.
Crossref