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Computational approaches to improve aggrecanase-1 inhibitory activity of (4-keto) phenoxy) methyl biphenyl-4-sulfonamide: Group based QSAR and docking studies
Ponnurengan Malliappan Sivakumar, Veluchamy Prabhawathi,
Published in
2012
PMID: 22548335
Volume: 8
   
Issue: 4
Pages: 673 - 682
Abstract
Group based Quantitative Structure Activity Relationship (GQSAR) was developed for thirty (4-keto-phenoxy) methyl biphenyl-4-sulfonamides which exhibit aggrecanase-1 enzyme inhibitory activity. This enzyme is involved in osteoarthritis. The data is divided into training and test sets, where the latter is used for validating the model. Substitution in the R1 position plays a major role when compared to substitution in R2 position. The former position is influenced by two descriptors, namely electrotopological and connectivity indices. R2 position is influenced by radius of gyration. The statistical parameters for the training set (r2 = 0.80, r2adj = 0.77, q2 = 0.69, F-ratio = 26.80 and standard error = 0.24) and the predicted r2 (r2test =0.95) are satisfactory. Docking of the compounds with aggrecanase-1 enzyme showed that there is a strong negative correlation between the binding energy and aggrecanase-1 inhibitory activity. Compounds with the carbonyl substitution interact with the S'1 pocket which is needed for enhanced activity. The two methodologies described here can help in lead optimization. © 2012 Bentham Science Publishers.
About the journal
JournalMedicinal Chemistry
ISSN15734064
Open AccessNo
Concepts (32)
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    (4 KETO PHENOXY) METHYL BIPHENYL 4 SULFONAMIDE DERIVATIVE
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    AGGRECANASE 1
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    Lead
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    METALLOPROTEINASE INHIBITOR
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    Sulfonamide
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    Unclassified drug
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    Article
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    Controlled study
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    Correlation analysis
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    Enzyme activity
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    Enzyme binding
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    Enzyme inhibition
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    Human
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    Methodology
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    Molecular docking
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    Osteoarthritis
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    Priority journal
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    Quantitative structure activity relation
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    STATISTICAL PARAMETERS
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    Substitution reaction
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    Validation process
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    ADAM PROTEINS
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    Binding sites
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    Catalytic domain
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    Computer simulation
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    Drug design
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    Humans
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    Models, biological
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    Molecular structure
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    PROCOLLAGEN N-ENDOPEPTIDASE
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    QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP
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    Sulfonamides