DAPD
作者: Krishnasamy GopinathRamaraj JayakumararajMuthusamy Karthikeyan
刊名: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2015, Vol.12 (3), pp.604-610
来源数据库: Association for Computing Machinery Journal
DOI: 10.1109/TCBB.2014.2359442
关键词: Bioinformatics (protein) databasesBiology and geneticsDatabase designDiabetes
原始语种摘要: Recent advancements in genomics and proteomics provide a solid foundation for understanding the pathogenesis of diabetes. Proteomics of diabetes associated pathways help to identify the most potent target for the management of diabetes. The relevant datasets are scattered in various prominent sources which takes much time to select the therapeutic target for the clinical management of diabetes. However, additional information about target proteins is needed for validation. This lacuna may be resolved by linking diabetes associated genes, pathways and proteins and it will provide a strong base for the treatment and planning management strategies of diabetes. Thus, a web source "Diabetes Associated Proteins Database (DAPD)" has been developed to link the diabetes associated genes, pathways...
全文获取路径: ACM 
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影响因子:1.616 (2012)

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关键词翻译
关键词翻译
  • diabetes 糖尿病
  • associated 相关的
  • proteins 蛋白质
  • diabetic 糖尿病患者
  • genetics 遗传学
  • management 管理
  • provide 规定
  • therapeutic 治疗的
  • potent 强大的
  • understanding 理解