Literature DB >> 15368918

Ligand intramolecular motions in ligand-protein interaction: ALPHA, a novel dynamic descriptor and a QSAR study with extended steroid benchmark dataset.

Kari Tuppurainen1, Marja Viisas, Mikael Peräkylä, Reino Laatikainen.   

Abstract

The role of intramolecular motions in ligand-macromolecule interactions has been explored by developing and validating ALPHA, a novel QSAR (quantitative structure-activity relationship) descriptor. It is based on the spectral exponents (alpha), which measure the degree of 1/f alpha noise of coordinate fluctuations in molecular dynamics (MD) simulations. ALPHA is the first truly 'dynamic' QSAR descriptor, i.e., it can be derived directly from an MD trajectory. The performance of ALPHA was tested in detail employing the CBG (corticosteroid binding globulin) affinity of 31 benchmark steroids, supplemented with 11 steroids as an external test set. The only fair (42-50%) correlations of ALPHA with static 3D and electronic descriptors mean that ALPHA forms an independent molecular property. Furthermore, inclusion of ALPHA in the SOMFA/ESP model improves the correlation coefficient from 0.86 to 0.91, and /delta/ave from 0.46 to 0.36 for the benchmark dataset. The predictive ability of ALPHA can be interpreted as indirect evidence of the dynamic contribution to ligand-macromolecule interactions. The physical background of ALPHA is discussed and the importance of molecular motions for biological activity is anticipated.

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Year:  2004        PMID: 15368918     DOI: 10.1023/b:jcam.0000035198.11110.48

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


  33 in total

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Authors:  R Laatikainen; J Saarela; K Tuppurainen; T Hassinen
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8.  Transport of steroid hormones: binding of 21 endogenous steroids to both testosterone-binding globulin and corticosteroid-binding globulin in human plasma.

Authors:  J F Dunn; B C Nisula; D Rodbard
Journal:  J Clin Endocrinol Metab       Date:  1981-07       Impact factor: 5.958

9.  Evaluation of a novel electronic eigenvalue (EEVA) molecular descriptor for QSAR/QSPR studies: validation using a benchmark steroid data set.

Authors:  Kari Tuppurainen; Marja Viisas; Reino Laatikainen; Mikael Peräkylä
Journal:  J Chem Inf Comput Sci       Date:  2002 May-Jun

10.  Effect of mutation on enzyme motion in dihydrofolate reductase.

Authors:  James B Watney; Pratul K Agarwal; Sharon Hammes-Schiffer
Journal:  J Am Chem Soc       Date:  2003-04-02       Impact factor: 15.419

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  1 in total

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Journal:  J Cheminform       Date:  2017-06-07       Impact factor: 5.514

  1 in total

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