Literature DB >> 17253117

Pushing the boundaries of 3D-QSAR.

Richard D Cramer1, Bernd Wendt.   

Abstract

Based primarily on further studies of a collection of eleven publications reporting fifteen successful 3D-QSAR relations, several phenomena are preliminarily described. The RMS error of 133 ligand binding energy predictions based on these successful 3D-QSARs is 0.75 kcal/mole, which compares favorably to the prediction accuracies of approaches that include the receptor. A similar result is obtained when topomer alignments are substituted for those published, with seemingly profound implications for the future of 3D-QSAR. The "alignment-averaged" molecular properties, log P and molar refractivity, have very little correlative power for these data sets, either alone or in combination with the 3D-QSAR field descriptors. The q (2 )metric for the number of PLS components necessarily tends to discard any unique or unconfirmed SAR information. Large drops in q (2) are thus to be expected whenever such unique information is first encountered. Predictive r (2) values from an exploratory new "series trajectory" analysis of these 3D-QSAR though highly variable do not differ much from their q (2) values, a phenomenon that seems to encourage prediction even when there are so few structures underlying a 3D-QSAR so that almost all information is unique.

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Year:  2007        PMID: 17253117     DOI: 10.1007/s10822-006-9100-0

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  23 in total

Review 1.  Computational methods for the structural alignment of molecules.

Authors:  C Lemmen; T Lengauer
Journal:  J Comput Aided Mol Des       Date:  2000-03       Impact factor: 3.686

2.  Consideration of molecular weight during compound selection in virtual target-based database screening.

Authors:  Yongping Pan; Niu Huang; Sam Cho; Alexander D MacKerell
Journal:  J Chem Inf Comput Sci       Date:  2003 Jan-Feb

3.  Boosted leave-many-out cross-validation: the effect of training and test set diversity on PLS statistics.

Authors:  Robert D Clark
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

4.  Similarity searching of chemical databases using atom environment descriptors (MOLPRINT 2D): evaluation of performance.

Authors:  Andreas Bender; Hamse Y Mussa; Robert C Glen; Stephan Reiling
Journal:  J Chem Inf Comput Sci       Date:  2004 Sep-Oct

5.  "Lead hopping". Validation of topomer similarity as a superior predictor of similar biological activities.

Authors:  Richard D Cramer; Robert J Jilek; Stefan Guessregen; Stephanie J Clark; Bernd Wendt; Robert D Clark
Journal:  J Med Chem       Date:  2004-12-30       Impact factor: 7.446

6.  Contribution of conformer focusing to the uncertainty in predicting free energies for protein-ligand binding.

Authors:  Julian Tirado-Rives; William L Jorgensen
Journal:  J Med Chem       Date:  2006-10-05       Impact factor: 7.446

7.  Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity.

Authors:  G Klebe; U Abraham; T Mietzner
Journal:  J Med Chem       Date:  1994-11-25       Impact factor: 7.446

8.  On model building in structure-activity relationships. A reexamination of adrenergic blocking activity of beta-halo-beta-arylalkylamines.

Authors:  S H Unger; C Hansch
Journal:  J Med Chem       Date:  1973-07       Impact factor: 7.446

9.  Application of quantitative structure-activity relationships in the development of the antiallergic pyranenamines.

Authors:  R D Cramer; K M Snader; C R Willis; L W Chakrin; J Thomas; B M Sutton
Journal:  J Med Chem       Date:  1979-06       Impact factor: 7.446

10.  An application of 3D-QSAR to the analysis of the sequence specificity of DNA alkylation by uracil mustard.

Authors:  A M Doweyko; W B Mattes
Journal:  Biochemistry       Date:  1992-10-06       Impact factor: 3.162

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  12 in total

1.  QMOD: physically meaningful QSAR.

Authors:  Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2010-08-19       Impact factor: 3.686

2.  Computer-aided drug design: the next 20 years.

Authors:  John H Van Drie
Journal:  J Comput Aided Mol Des       Date:  2007-11-08       Impact factor: 3.686

3.  Quantitative Series Enrichment Analysis (QSEA): a novel procedure for 3D-QSAR analysis.

Authors:  Bernd Wendt; Richard D Cramer
Journal:  J Comput Aided Mol Des       Date:  2008-02-27       Impact factor: 3.686

4.  Estimation of influential points in any data set from coefficient of determination and its leave-one-out cross-validated counterpart.

Authors:  Gergely Tóth; Zsolt Bodai; Károly Héberger
Journal:  J Comput Aided Mol Des       Date:  2013-10-20       Impact factor: 3.686

5.  Herman Skolnik award symposium honoring Yvonne Martin.

Authors:  Wendy A Warr
Journal:  J Comput Aided Mol Des       Date:  2009-12-10       Impact factor: 3.686

6.  Challenging the gold standard for 3D-QSAR: template CoMFA versus X-ray alignment.

Authors:  Bernd Wendt; Richard D Cramer
Journal:  J Comput Aided Mol Des       Date:  2014-06-17       Impact factor: 3.686

7.  Three-dimensional QSAR analysis and design of new 1,2,4-oxadiazole antibacterials.

Authors:  Erika Leemans; Kiran V Mahasenan; Malika Kumarasiri; Edward Spink; Derong Ding; Peter I O'Daniel; Marc A Boudreau; Elena Lastochkin; Sebastian A Testero; Takao Yamaguchi; Mijoon Lee; Dusan Hesek; Jed F Fisher; Mayland Chang; Shahriar Mobashery
Journal:  Bioorg Med Chem Lett       Date:  2015-12-12       Impact factor: 2.823

8.  Application of the quantum mechanical IEF/PCM-MST hydrophobic descriptors to selectivity in ligand binding.

Authors:  Tiziana Ginex; Jordi Muñoz-Muriedas; Enric Herrero; Enric Gibert; Pietro Cozzini; F Javier Luque
Journal:  J Mol Model       Date:  2016-05-17       Impact factor: 1.810

9.  Physical binding pocket induction for affinity prediction.

Authors:  James J Langham; Ann E Cleves; Russell Spitzer; Daniel Kirshner; Ajay N Jain
Journal:  J Med Chem       Date:  2009-10-08       Impact factor: 7.446

10.  The inevitable QSAR renaissance.

Authors:  Richard D Cramer
Journal:  J Comput Aided Mol Des       Date:  2011-11-30       Impact factor: 3.686

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