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Abstract Details
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Activity Number:
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289
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #305330 |
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Title:
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A Stochastic Evolutionary Model for Protein Structure Alignment and Phylogeny
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Author(s):
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Christopher Challis*+ and Scott Schmidler
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Companies:
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Duke University and Duke University
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Address:
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Duke University, Durham, NC, 27708, United States
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Keywords:
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Bayesian ;
phylogeny ;
protein structure ;
alignment ;
evolution
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Abstract:
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We present a stochastic process model for the joint evolution of protein primary and tertiary structure, suitable for use in alignment and estimation of phylogeny. Indels arise from a classic Links model and mutations follow a standard substitution matrix, while backbone atoms diffuse in three-dimensional space according to an Ornstein-Uhlenbeck process. The model allows for simultaneous estimation of evolutionary distances, indel rates, structural drift rates, and alignments, while fully accounting for uncertainty. The inclusion of structural information enables phylogenetic inference on time scales not previously attainable with sequence evolution models. The model also provides a tool for testing evolutionary hypotheses and improving our understanding of protein structural evolution.
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