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Integration of Proteome-wide Computational & Experimental Analys

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  • 2014-01-17

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Integration of Proteome-wide Computational & Experimental Analysis to Enhance Protein Function Information


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- Date/Time : Mon April 28., 2003


              14:00-15:00 


 



- Speaker : Dr. David Edwards


            - Director of Computational Proteomics


            - accelrys






- Place : Life Science Bldg. #104






- For inquires : Professor Hong Gil Nam Dept. of Life Science


                 생명과학과 남홍길 교수 (☎279-2111)



 



Abstract -


    Recent advances in genome sequencing have created an immense opportunity to understand, describe and model whole living organisms. Complete new genomes for various organisms are appearing in Science and Nature almost every month, and the Human Genome Project is now essentially completed. However, functional and structural characterization of newly sequenced proteins is still problematic. It is estimated that the function of a protein can only be identified about 50% of the time using sequence-based comparison methods alone (BLAST, FASTA, HMMs). It is now clear that in many cases knowledge of a protein's structure plays a crucial role in the identification and characterization of a its function. 


    Research at Accelrys over the past 4 years has been focused on methods for extending the amount of information that can be extracted from the genome, thereby identifying new and unique potential targets for drug discovery. These methods include a variety of 3D-based functional assignment and annotation technologies that have been combined to form an automated analysis pipeline, DS GeneAtlas.  This information is captured in a relational database environment, DS AtlasStore, and leads to the identification and characterization of the protein's biochemical function. DS AtlasStore integrates a variety of types of proteomic data - X-ray experimental information, DS GeneAtlas Annotations and structural information from the PDB and can be mined using a variety of starting points including Mass Spectrometry data. This technology is developed in close collaboration with industrial companies through Accelrys' Functional Proteomics Consortium.