科技报告详细信息
GAP Final Technical Report 12-14-04
Andrew J. Bordner, PhD, Senior Research Scientist
Molsoft LLC (United States)
关键词: Protein Structure;    Forecasting;    Biochemistry;    Functionals;    59 Basic Biological Sciences;   
DOI  :  10.2172/835093
RP-ID  :  DOE/ER/83282
RP-ID  :  FG03-01ER83282
RP-ID  :  835093
美国|英语
来源: UNT Digital Library
PDF
【 摘 要 】
The Genomics Annotation Platform (GAP) was designed to develop new tools for high throughput functional annotation and characterization of protein sequences and structures resulting from genomics and structural proteomics, benchmarking and application of those tools. Furthermore, this platform integrated the genomic scale sequence and structural analysis and prediction tools with the advanced structure prediction and bioinformatics environment of ICM. The development of GAP was primarily oriented towards the annotation of new biomolecular structures using both structural and sequence data. Even though the amount of protein X-ray crystal data is growing exponentially, the volume of sequence data is growing even more rapidly. This trend was exploited by leveraging the wealth of sequence data to provide functional annotation for protein structures. The additional information provided by GAP is expected to assist the majority of the commercial users of ICM, who are involved in drug discovery, in identifying promising drug targets as well in devising strategies for the rational design of therapeutics directed at the protein of interest. The GAP also provided valuable tools for biochemistry education, and structural genomics centers. In addition, GAP incorporates many novel prediction and analysis methods not available in other molecular modeling packages. This development led to signing the first Molsoft agreement in the structural genomics annotation area with the University of oxford Structural Genomics Center. This commercial agreement validated the Molsoft efforts under the GAP project and provided the basis for further development of the large scale functional annotation platform.
【 预 览 】
附件列表
Files Size Format View
835093.pdf 762KB PDF download
  文献评价指标  
  下载次数:11次 浏览次数:39次