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Activity Number:
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185
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 7, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #306450 |
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Title:
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Statistical Models on Protein Complex Alignments
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Author(s):
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Tony Chiang*+
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Companies:
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Fred Hutchinson Cancer Research Center
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Address:
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1100 Fairview Ave., N., Seattle, WA, 98109,
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Keywords:
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alignment ; protein ; interaction ; complex
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Abstract:
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Modeling protein interactions is one important aspect to biological experiments, but problems arise due to high error rates incurred by the various assay technologies. These errors include both false positives and false negatives and can be either stochastic or systematic in nature. We address the general problem of estimating all multiprotein complexes in a given organism with the presence of these errors. Currently, there is no sound mechanism to determine the accuracy of protein complex estimation (clustering) algorithms. We will discuss ways to compare and align protein complexes, but focus on determining an optimal alignment that yields a highest weight based on a similarity scoring criterion. We will discuss the complexity of this alignment and give examples of deterministic and approximation algorithms.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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