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El Hafi M, Lahmidi S, Boulhaoua M, El Ghayati L, Albalwi H, Anouar EH, Alharthi AI, Mague JT, Essassi EM, Lai C. A new synthetic route for the preparation of 2,2′,5′‐trimethyl‐7‐oxo‐4,7‐dihydro‐[6,7′‐bipyrazolo[1,5‐
a
]pyrimidine]‐3,3′‐dicarbonitrile, structural elucidation, Hirshfeld surface analysis, energy framework, density functional theory and molecular docking investigations. J CHIN CHEM SOC-TAIP 2022. [DOI: 10.1002/jccs.202100509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Mohamed El Hafi
- Laboratory of Heterocyclic Organic Chemistry, Department of Chemistry, Faculty of Sciences Mohammed V University in Rabat Rabat Morocco
| | - Sanae Lahmidi
- Laboratory of Heterocyclic Organic Chemistry, Department of Chemistry, Faculty of Sciences Mohammed V University in Rabat Rabat Morocco
| | - Mohammed Boulhaoua
- Laboratory of Heterocyclic Organic Chemistry, Department of Chemistry, Faculty of Sciences Mohammed V University in Rabat Rabat Morocco
- Department of Inorganic Chemistry, Institute of Chemistry ELTE Eötvös Loránd University Budapest Hungary
| | - Lhoussaine El Ghayati
- Laboratory of Heterocyclic Organic Chemistry, Department of Chemistry, Faculty of Sciences Mohammed V University in Rabat Rabat Morocco
| | - Hanan Albalwi
- Department of Chemistry College of Science and Humanities in Al‐Kharj, Prince Sattam Bin Abdulaziz University Al‐Kharj Saudi Arabia
| | - El Hassane Anouar
- Department of Chemistry College of Science and Humanities in Al‐Kharj, Prince Sattam Bin Abdulaziz University Al‐Kharj Saudi Arabia
| | - Abdulrahman I. Alharthi
- Department of Chemistry College of Science and Humanities in Al‐Kharj, Prince Sattam Bin Abdulaziz University Al‐Kharj Saudi Arabia
| | - Joel T. Mague
- Department of Chemistry Tulane University New Orleans Louisiana USA
| | - El Mokhtar Essassi
- Laboratory of Heterocyclic Organic Chemistry, Department of Chemistry, Faculty of Sciences Mohammed V University in Rabat Rabat Morocco
| | - Chin‐Hung Lai
- Department of Medical Applied Chemistry Chung Shan Medical University Taichung Taiwan
- Department of Medical Education Chung Shan Medical University Hospital Taichung Taiwan
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Haneen DSA, Abou-Elmagd WSI, Youssef ASA. 5(4H)-oxazolones: Synthesis and biological activities. SYNTHETIC COMMUN 2020. [DOI: 10.1080/00397911.2020.1825746] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- David S. A. Haneen
- Chemistry Department, Faculty of Science, Ain Shams University, Cairo, Egypt
| | | | - Ahmed S. A. Youssef
- Chemistry Department, Faculty of Science, Ain Shams University, Cairo, Egypt
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Kolawole OA, Banjo S. In Vitro Biological Estimation of 1,2,3-Triazolo[4,5-d]pyrimidine Derivatives as Anti-breast Cancer Agent: DFT, QSAR and Docking Studies. Curr Pharm Biotechnol 2020; 21:70-78. [DOI: 10.2174/1389201020666190904163003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 05/03/2019] [Accepted: 08/18/2019] [Indexed: 11/22/2022]
Abstract
Background & Objective:
Series of synthesized molecular compounds were considered as
anti-breast cancer. The molecular descriptors which describe the microbial activities of the studied
compounds were calculated using theoretical approach.
Methods:
The calculated parameters obtained EHOMO (eV), ELUMO (eV), dipole moment (Debye), log P,
molecular weight (amu), HBA, HBD, Vol and Ovality were screened. The obtained calculated descriptors
were used to develop QSAR model for prediction of experimental inhibition concentration
(IC50) using SPSS and Gretl software packages for multiple linear regression (MLR) and MATLAB for
the artificial neural network (ANN).
Results:
From this statistical analysis, MLR and ANN were observed to be predictive, however, ANNQSAR
model predicted more efficiently than MLR.
Conclusion:
Furthermore, molecular docking study was executed with breast cancer cell line
(PDB ID: 1hi7); it was observed that BS20 with binding energy of -7.0 kcal/mol bounded more efficiently
than other compounds also, it inhibited more than the standard used (5-FU).
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Affiliation(s)
- Oyebamiji A. Kolawole
- Computational Chemistry Laboratory, Department of Pure and Applied Chemistry, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Oyo State, Nigeria
| | - Semire Banjo
- Computational Chemistry Laboratory, Department of Pure and Applied Chemistry, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Oyo State, Nigeria
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