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

被引:21
作者
Shahlaei, Mohsen [1 ,2 ,3 ]
Fassihi, Afshin [1 ,2 ]
Saghaie, Lotfollah [1 ,2 ]
Arkan, Elham [4 ]
Madadkar-Sobhani, Armin [5 ,6 ]
Pourhossein, Alireza [7 ]
机构
[1] Isfahan Univ Med Sci, Sch Pharm, Dept Med Chem, Esfahan 8174673461, Iran
[2] Isfahan Univ Med Sci, Isfahan Pharmaceut Sci Res Ctr, Esfahan 8174673461, Iran
[3] Kermanshah Univ Med Sci, Fac Pharm, Dept Med Chem, Kermanshah, Iran
[4] Barcelona Supercomp Ctr, Dept Med Nanotechnol, Sch Adv Med Technol, Barcelona, Spain
[5] Barcelona Supercomp Ctr, Dept Life Sci, Barcelona, Spain
[6] Univ Tehran, Inst Biophys & Biochem, Dept Bioinformat, Tehran, Iran
[7] Islamic Azad Univ, Kermanshah branch, Young Researchers Club, Kermanshah, Iran
关键词
QSAR; Docking; ADME-Tox profile; CDK2; inhibitors; anticancer compounds; DEPENDENT KINASE INHIBITORS; FLUID PHOSPHOLIPASE A(2); MOLECULAR-DYNAMICS; VARIABLE SELECTION; MIA-QSAR; CYCLIN; BINDING; PREDICTION; SUBSTRATE; RECOGNITION;
D O I
10.3109/14756366.2011.618991
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
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页码:16 / 32
页数:17
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