Bayesian modelling for matching and alignment of biomolecules

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

Abstract

The three-dimensional shape of a protein plays a key role in determining its function, so proteins in which particular atoms have very similar configurations in space often have similar functions. There is therefore a need for efficient methodology to identify, given two or more proteins represented by the coordinates of their atoms, subsets of those atoms which match within measurement error, after allowing for appropriate geometrical transformations to align the proteins. This chapter describes a Bayesian model-based methodology for such tasks, and presents several challenging applications.
Original languageEnglish
Title of host publicationThe Oxford Handbook of Applied Bayesian Analysis
EditorsAnthony O'Hagan, Mike West
PublisherOxford University Press
Pages27-50
Number of pages24
Publication statusPublished - May 2010

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