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An application of nonlinear optimization in molecular biology

A maximum likelihood approach has been proposed for finding protein binding sites on strands of DNA [G.D. Stormo, G.W. Hartzell, Proceedings of the National Academy of Sciences of the USA 86 (1989) 1183]. We formulate an optimization model for the problem and present calculations with experimental s...

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Published in:	European journal of operational research 2002-04, Vol.138 (2), p.452-458
Main Authors:	Ecker, J.G, Kupferschmid, M, Lawrence, C.E, Reilly, A.A, Scott, A.C.H
Format:	Article
Language:	English
Subjects:	Algorithms Binding sites DNA sequences Maximum likelihood Maximum likelihood estimation Molecular biology Nonlinear programming Optimization Protein binding Proteins
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description	A maximum likelihood approach has been proposed for finding protein binding sites on strands of DNA [G.D. Stormo, G.W. Hartzell, Proceedings of the National Academy of Sciences of the USA 86 (1989) 1183]. We formulate an optimization model for the problem and present calculations with experimental sequence data to study the behavior of this site identification method.
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subjects	Algorithms Binding sites DNA sequences Maximum likelihood Maximum likelihood estimation Molecular biology Nonlinear programming Optimization Protein binding Proteins
title	An application of nonlinear optimization in molecular biology
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