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Predicting Flavonoid UGT Regioselectivity
Joint Authors
Jackson, Rhydon
Knisley, Debra
McIntosh, Cecilia
Pfeiffer, Phillip
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-06-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
Machine learning was applied to a challenging and biologically significant protein classification problem: the prediction of avonoid UGT acceptor regioselectivity from primary sequence.
Novel indices characterizing graphical models of residues were proposed and found to be widely distributed among existing amino acid indices and to cluster residues appropriately.
UGT subsequences biochemically linked to regioselectivity were modeled as sets of index sequences.
Several learning techniques incorporating these UGT models were compared with classifications based on standard sequence alignment scores.
These techniques included an application of time series distance functions to protein classification.
Time series distances defined on the index sequences were used in nearest neighbor and support vector machine classifiers.
Additionally, Bayesian neural network classifiers were applied to the index sequences.
The experiments identified improvements over the nearest neighbor and support vector machine classifications relying on standard alignment similarity scores, as well as strong correlations between specific subsequences and regioselectivities.
American Psychological Association (APA)
Jackson, Rhydon& Knisley, Debra& McIntosh, Cecilia& Pfeiffer, Phillip. 2011. Predicting Flavonoid UGT Regioselectivity. Advances in Bioinformatics،Vol. 2011, no. 2011, pp.1-15.
https://search.emarefa.net/detail/BIM-477072
Modern Language Association (MLA)
Jackson, Rhydon…[et al.]. Predicting Flavonoid UGT Regioselectivity. Advances in Bioinformatics No. 2011 (2011), pp.1-15.
https://search.emarefa.net/detail/BIM-477072
American Medical Association (AMA)
Jackson, Rhydon& Knisley, Debra& McIntosh, Cecilia& Pfeiffer, Phillip. Predicting Flavonoid UGT Regioselectivity. Advances in Bioinformatics. 2011. Vol. 2011, no. 2011, pp.1-15.
https://search.emarefa.net/detail/BIM-477072
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477072