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Activity Number:
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379
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Type:
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Invited
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Date/Time:
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Wednesday, August 6, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #300336 |
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Title:
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Using 'Intelligent Systems' for Predicting Protein Function and Selecting Targets for Structural Genomics
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Author(s):
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Rajesh Nair*+ and Burkhard Rost
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Companies:
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Columbia University and Columbia University
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Address:
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1130 St. Nicholas Ave, 8th. floor, Room 805 , New York, NY, 10032,
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Keywords:
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bioinformatics ; protein structure ; protein function ; target selection ; structural genomics ; function prediction
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Abstract:
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Large-scale sequencing projects have resulted in a flood of protein sequence data. Two major challenges in reducing the rapidly widening gap in our knowledge of the structure and function of proteins are i) an effective sampling strategy for identifying candidates for structure and function determination and ii) tools for accurately inferring protein structure and function from what is known. I will discuss some of the strategies we have pursued to tackle these challenges. In the context of identifying candidates for structure determination, I will discuss strategies for target selection and prioritization that we have implemented to reduce the cost per structure. Application of these strategies has resulted in over 300 protein structures solved at the North Eastern Structural Genomics (NESG) consortium, most of which provided novel structural information for large-sequence families.
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