Hierarchical bayesian modeling of pharmacophores in bioinformatics

Mardia, KV, Nyirongo, VB, Fallaize, CJ et al. (2 more authors) (2011) Hierarchical bayesian modeling of pharmacophores in bioinformatics. Biometrics, 67 (2). 611 - 619. ISSN 0006-341X

Abstract

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Authors/Creators:
  • Mardia, KV
  • Nyirongo, VB
  • Fallaize, CJ
  • Barber, S
  • Jackson, RM
Copyright, Publisher and Additional Information: (c) 2011, Wiley. This is an author produced version of a paper published in Biometrics. Uploaded in accordance with the publisher's self-archiving policy This is the accepted version of the following article: Mardia, KV, Nyirongo, VB, Fallaize, CJ, Barber, S and Jackson, RM (2011) Hierarchical bayesian modeling of pharmacophores in bioinformatics. Biometrics, 67 (2). 611 - 619. ISSN 0006-341X, which has been published in final form at http://dx.doi.org/10.1111/j.1541-0420.2010.01460.x.
Keywords: Algorithms; Bayes Theorem; Biometry; Catalytic domain; Computational biology; Drug design; Drug discovery; Proteins; Structure-activity relationship; Chemoinformatics; Ligands; Markov chain Monte Carlo; Multiple alignment; Pharmacophore; Shape analysis; Spatial matching; Template
Dates:
  • Published: June 2011
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Apr 2014 09:56
Last Modified: 16 Apr 2014 09:56
Published Version: http://dx.doi.org/10.1111/j.1541-0420.2010.01460.x
Status: Published
Publisher: Wiley
Identification Number: https://doi.org/10.1111/j.1541-0420.2010.01460.x
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