Literature DB >> 11749586

4D-QSAR analysis of a set of ecdysteroids and a comparison to CoMFA modeling.

M Ravi1, A J Hopfinger, R E Hormann, L Dinan.   

Abstract

The ecdysteroid-responsive Drosophila melanogaster B(II) cell line is a prototypical homologous inducible gene expression system. A training set of 71 ecdysteroids, for which the -log(EC(50)) potencies in the ecdysteroid-responsive B(II) cell line were measured, was used to construct 4D-QSAR models. Four nearly equivalent optimum 4D-QSAR models, for two modestly different alignments, were identified (Q(2) = 0.76-0.80). These four models, together with two CoMFA models, were used in consensus modeling to arrive at a three-dimensional pharmacophore. The C-2 and C-22 hydroxyls are identified as hydrogen-bond acceptor sites which enhance activity. A hydrophobic site near C-12 is consistent with increasing activity. The side-chain substituents at C-17 are predicted to adopt semiextended "active" conformations which could fit into a cylinder-shaped binding pocket lined largely with nonpolar residues for enhanced activity. A test set of 20 ecdysteroids was used to evaluate the QSAR models. Two 4D-QSAR models for one alignment were identified to be superior to the others based on having the smallest average residuals of prediction for the prediction set (0.69 and 1.13 -log[EC(50)] units). The correlation coefficients of the optimum 4D-QSAR models (R(2) = 0.87 and 0.88) are nearly the same as those of the best CoMFA model (R(2) = 0.92) determined for the same training set. However, the cross-validation correlation coefficient of the CoMFA model is less significant (Q(2) = 0.59) than those of the 4D-QSAR models (Q(2) = 0.80 and 0.80).

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Year:  2001        PMID: 11749586     DOI: 10.1021/ci010076u

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  10 in total

1.  3D-QSAR illusions.

Authors:  Arthur M Doweyko
Journal:  J Comput Aided Mol Des       Date:  2004 Jul-Sep       Impact factor: 3.686

2.  The great descriptor melting pot: mixing descriptors for the common good of QSAR models.

Authors:  Yufeng J Tseng; Anton J Hopfinger; Emilio Xavier Esposito
Journal:  J Comput Aided Mol Des       Date:  2011-12-27       Impact factor: 3.686

3.  Construction of 4D-QSAR models for use in the design of novel p38-MAPK inhibitors.

Authors:  Nelilma Correia Romeiro; Magaly Girão Albuquerque; Ricardo Bicca de Alencastro; Malini Ravi; Anton J Hopfinger
Journal:  J Comput Aided Mol Des       Date:  2005-06       Impact factor: 3.686

4.  Comparison of Descriptor- and Fingerprint Sets in Machine Learning Models for ADME-Tox Targets.

Authors:  Álmos Orosz; Károly Héberger; Anita Rácz
Journal:  Front Chem       Date:  2022-06-08       Impact factor: 5.545

5.  4D-QSAR analysis of a set of propofol analogues: mapping binding sites for an anesthetic phenol on the GABA(A) receptor.

Authors:  Matthew D Krasowski; Xuan Hong; A J Hopfinger; Neil L Harrison
Journal:  J Med Chem       Date:  2002-07-18       Impact factor: 7.446

6.  Superimposition evaluation of ecdysteroid agonist chemotypes through multidimensional QSAR.

Authors:  Robert E Hormann; Laurence Dinan; Pensri Whiting
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

Review 7.  Practical uses for ecdysteroids in mammals including humans: an update.

Authors:  R Lafont; L Dinan
Journal:  J Insect Sci       Date:  2003       Impact factor: 1.857

8.  Synthesis and biological activities of turkesterone 11alpha-acyl derivatives.

Authors:  Laurence Dinan; Pauline Bourne; Pensri Whiting; Ada Tsitsekli; Ziyadilla Saatov; Tarlochan S Dhadialla; Robert E Hormann; René Lafont; Josep Coll
Journal:  J Insect Sci       Date:  2003-02-24       Impact factor: 1.857

Review 9.  Two Decades of 4D-QSAR: A Dying Art or Staging a Comeback?

Authors:  Andrzej Bak
Journal:  Int J Mol Sci       Date:  2021-05-14       Impact factor: 5.923

10.  Ecdysteroid 7,9(11)-dien-6-ones as potential photoaffinity labels for ecdysteroid binding proteins.

Authors:  Pauline C Bourne; Pensri Whiting; Tarlochan S Dhadialla; Robert E Hormann; Jean-Pierre Girault; Juraj Harmatha; René Lafont; Laurence Dinan
Journal:  J Insect Sci       Date:  2002       Impact factor: 1.857

  10 in total

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