Abstract:
:Interleukin-1β is a drug target in rheumatoid arthritis and several auto-immune disorders. In this study, a set of 48 compounds with the determined IC50 values were used for QSAR analysis by MOE. The QSAR model was developed by using training set of 41 compounds, based on 12 unique descriptors. Model was validated by predicting the IC50 values for a test set of 7 compounds. A correlation analysis was carried out comparing the statistics of the measured IC50 values with predicted ones. Subsequently, model was used for the screening of a large data set of 7,397,957 compounds obtained from "Drugs Now" category of ZINC database. The activities of those compounds were predicted by developed model. 708,960 compounds that showed best predicted activities were chosen for further studies. Additionally this set of 708,960 compounds was screened by pharmacophore modeling that led to the retrieval of 1809 molecules. Finally docking of 1809 molecules was conducted at the IL-1β receptor binding site using MOE and FRED docking program. Several new compounds were predicted as IL-1β inhibitors in silico. This study provides valuable insight for designing more potent and selective inhibitors for the treatment of inflammatory diseases.
journal_name
Comput Biol Chemjournal_title
Computational biology and chemistryauthors
Halim SA,Jawad M,Ilyas M,Mir Z,Mirza AA,Husnain Tdoi
10.1016/j.compbiolchem.2015.06.004subject
Has Abstractpub_date
2015-10-01 00:00:00pages
158-66eissn
1476-9271issn
1476-928Xpii
S1476-9271(15)30031-1journal_volume
58pub_type
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