Literature DB >> 21999517

Computational evaluation of some indenopyrazole derivatives as anticancer compounds; application of QSAR and docking methodologies.

Mohsen Shahlaei1, Afshin Fassihi, Lotfollah Saghaie, Elham Arkan, Armin Madadkar-Sobhani, Alireza Pourhossein.   

Abstract

A computational procedure was performed on some indenopyrazole derivatives. Two important procedures in computational drug discovery, namely docking for modeling ligand-receptor interactions and quantitative structure activity relationships were employed. MIA-QSAR analysis of the studied derivatives produced a model with high predictability. The developed model was then used to evaluate the bioactivity of 54 proposed indenopyrazole derivatives. In order to confirm the obtained results through this ligand-based method, docking was performed on the selected compounds. An ADME-Tox evaluation was also carried out to search for more suitable compounds. Satisfactory bioactivities and ADME-Tox profiles for two of the compounds, namely 62 and S13, propose that further studies should be performed on such devoted chemical structures.

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Year:  2011        PMID: 21999517     DOI: 10.3109/14756366.2011.618991

Source DB:  PubMed          Journal:  J Enzyme Inhib Med Chem        ISSN: 1475-6366            Impact factor:   5.051


  3 in total

1.  Erratum to: Does being an Olympic city help improve recreational resources? Examining the quality of physical activity resources in a low-income neighborhood of Rio de Janeiro.

Authors:  Fabiana R de Sousa-Mast; Arianne C Reis; Marcelo C Vieira; Sandro Sperandei; Luilma A Gurgel; Uwe Pühse
Journal:  Int J Public Health       Date:  2017-03       Impact factor: 3.380

2.  Combined Unfolded Principal Component Analysis and Artificial Neural Network for Determination of Ibuprofen in Human Serum by Three-Dimensional Excitation-Emission Matrix Fluorescence Spectroscopy.

Authors:  Gholamreza Bahrami; Hamid Nabiyar; Komail Sadrjavadi; Mohsen Shahlaei
Journal:  Iran J Pharm Res       Date:  2018       Impact factor: 1.696

3.  Prediction of p38 map kinase inhibitory activity of 3, 4-dihydropyrido [3, 2-d] pyrimidone derivatives using an expert system based on principal component analysis and least square support vector machine.

Authors:  M Shahlaei; L Saghaie
Journal:  Res Pharm Sci       Date:  2014 Nov-Dec
  3 in total

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