Seminar-Rangwala.doc - Computer Science Seminar Series 2009 National Capital Region String Kernels for Structure Prediction Speaker Prof Huzefa Rangwala

Seminar-Rangwala.doc - Computer Science Seminar Series 2009...

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String Kernels for Structure Prediction Speaker: Prof. Huzefa Rangwala Department of Computer Science Department of Bioinformatics & Computational Biology George Mason University Friday, May 1, 2009 1:00PM- 2:00PM, NVC 322 Abstract Proteins have a vast influence on the molecular machinery of life. Stunningly complex networks of proteins perform innumerable functions in every living cell. Knowing the three-dimensional structure of proteins is crucial to advances in biology, as this information provides insight into how proteins operate. For example, structural information enables function prediction, the identification of other interacting biomolecules (e.g., proteins, DNA and RNA), and the rational search for ligands that can be used to enhance or inhibit these interactions. In this talk I will highlight my work involving use of sequence information to characterize the structural and functional nature of proteins. The above research has lead to contributions towards the overarching protein structure prediction problem i.e., determining the three-dimensional
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Unformatted text preview: structure of a protein from a linear chain of amino acids. These methods have been deployed in the biennial protein structure prediction competition called CASP. Biography Huzefa Rangwala’s research interests include bioinformatics, machine learning, and high performance computing. His research has resulted in the development of software packages for performing protein sequence classification (kernel-compute), predicting local structure and functional properties (PROSAT, MONSTER, TOPTMH. Recently, he has been involved in development of methods for integrating information from heterogeneous data, learning from unlabeled instances, and multi-label classification within the context of chemical and biological data. He has also started developing a prototype for fragment assembly for high throughput short reads. He got his PhD from the University of Minnesota in 2008. Computer Science Seminar Series, 2009 National Capital Region...
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