蛋白质配体数据分析系统的移动交互与查询优化

Marvin Lapeine, K. Herbert, Emily Hill, N. Goodey
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引用次数: 1

摘要

随着目前将系统发育分析整合到药物研究中的趋势,整合这两个领域的计算系统可以帮助药物发现领域。DrugTree是一个工具,覆盖配体数据上的蛋白质驱动的系统发育树。虽然DrugTree的初步测试是成功的,但人们已经注意到,在查询该树时存在一些滞后。由于数据的交错特性,查询优化可能会出现问题,因为数据是从多个来源获得的,经过集成,然后在系统发生分析层上以系统发生方式呈现给用户。这张海报展示了我们解决查询优化问题的初步方法。我们的方法应用标准,并使用新的机制来帮助提高性能时间。
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Mobile interaction and query optimizationin a protein-ligand data analysis system
With current trends in integrating phylogenetic analysis into pharma-research, computing systems that integrate the two areas can help the drug discovery field. DrugTree is a tool that overlays ligand data on a protein-motivated phylogenetic tree. While initial tests of DrugTree are successful, it has been noticed that there are a number of lags concerning querying the tree. Due to the interleaving nature of the data, query optimization can become problematic since the data is being obtained from multiple sources, integrated and then presented to the user with the phylogenetic imposed upon the phylogenetic analysis layer. This poster presents our initial methodologies for addressing the query optimization issues. Our approach applies standards as well as uses novel mechanisms to help improve performance time.
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