Literature DB >> 18569350

Prediction of caspase-3 inhibitory activity of 1,3-dioxo-4-methyl-2,3-dihydro-1h-pyrrolo[3,4-c] quinolines: QSAR study.

Simant Sharma1, V Ravichandran, Prateek K Jain, V K Mourya, R K Agrawal.   

Abstract

Neurodegenerative disorders are consequences of progressive and irreversible loss of neurons due to unwanted apoptosis which involves caspases, a group of cysteine proteases that cleave other proteins and inactivate them. Among several different groups of caspase enzymes, caspases-3 plays a key role in apoptosis and are a therapeutic target for their inhibition. In pursuit of better caspase-3 inhibitors, a quantitative structure-activity relationship (QSAR) analysis was performed on a series of 1,3-dioxo-4-methyl-2,3-dihydro-1H-pyrrolo[3,4-c] quinolines as caspase-3 inhibitors using WIN CAChe 6.1 and Medicinal Chemistry Regression Machine. The best QSAR model was selected and validated by internal and external validation method. The values of statistical data are r = 0.955, F = 72.95, SEE = 0.397, q(2) = 0.885, S(PRESS) = 0.44. The present study reveals that when the conformational minimum energy is increased, and lowest unoccupied molecular orbital energy and highest occupied molecular orbital energy are decreased the biological activity can be increased. On the basis of a selected QSAR model, we designed a new series of 1,3-dioxo-4-methyl-2,3-dihydro-1H-pyrrolo[3,4-c]quinolines compounds, calculated their caspases inhibitory activity and found that the designed compounds were more potent than the existing compounds.

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Year:  2008        PMID: 18569350     DOI: 10.1080/14756360701652476

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


  4 in total

1.  Crystal structure of diethyl 2-[(2-sulfan-yl-quinolin-3-yl)methyl-idene]malonate.

Authors:  B R Anitha; T G Meenakshi; K Mahesh Kumar; H C Devarajegowda
Journal:  Acta Crystallogr E Crystallogr Commun       Date:  2015-07-22

2.  CoMFA, CoMSIA, HQSAR and Molecular Docking Analysis of Ionone-based Chalcone Derivatives as Antiprostate Cancer Activity.

Authors:  R Sharma; N Dhingra; S Patil
Journal:  Indian J Pharm Sci       Date:  2016 Jan-Feb       Impact factor: 0.975

3.  An efficient piecewise linear model for predicting activity of caspase-3 inhibitors.

Authors:  Loghman Firoozpour; Khadijeh Sadatnezhad; Sholeh Dehghani; Eslam Pourbasheer; Alireza Foroumadi; Abbas Shafiee; Massoud Amanlou
Journal:  Daru       Date:  2012-09-10       Impact factor: 3.117

4.  Pharmacophore modeling and docking studies on some nonpeptide-based caspase-3 inhibitors.

Authors:  Simant Sharma; Arijit Basu; R K Agrawal
Journal:  Biomed Res Int       Date:  2013-09-08       Impact factor: 3.411

  4 in total

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