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Applying high-performance computing in drug discovery and molecular simulation
  • ISSN号:0253-9772
  • 期刊名称:《遗传》
  • 时间:0
  • 分类:TP38[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术]
  • 作者机构:State Key Laboratory of Drug Research,Shanghai Institute of Materia Medica,Chinese Academy of Sciences
  • 相关基金:supported the National High Technology Research and Development Programme of China(2012AA020301,2012AA01A305);the Chinese Academy of Sciences(KSZD-EWL09-4);the National Natural Science Foundation of China(81230076,21210003)
中文摘要:

In recent decades, high-performance computing(HPC) technologies and supercomputers in China have significantly advanced, resulting in remarkable achievements. Computational drug discovery and design,which is based on HPC and combines pharmaceutical chemistry and computational biology, has become a critical approach in drug research and development and is financially supported by the Chinese government. This approach has yielded a series of new algorithms in drug design, as well as new software and databases. This review mainly focuses on the application of HPC to the fields of drug discovery and molecular simulation at the Chinese Academy of Sciences, including virtual drug screening, molecular dynamics simulation, and protein folding. In addition, the potential future application of HPC in precision medicine is briefly discussed.

英文摘要:

In recent decades, high-performance computing (HPC) technologies and supercomputers in China have significantly advanced, resulting in remarkable achievements. Computational drug discovery and design, which is based on HPC and combines pharmaceutical chemistry and computational biology, has become a critical approach in drug research and development and is financially supported by the Chinese government. This approach has yielded a series of new algorithms in drug design, as well as new software and databases. This review mainly focuses on the application of HPC to the fields of drug discovery and molecular simulation at the Chinese Academy of Sciences, including virtual drug screening, molecular dynamics simulation, and protein folding. In addition, the potential future application of HPC in precision medicine is briefly discussed.

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期刊信息
  • 《遗传》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国遗传学会
  • 主编:张永清
  • 地址:北京朝阳区北辰西路1号院中国科学院遗传发育所
  • 邮编:100101
  • 邮箱:yczz@genetics.ac.cn
  • 电话:010-64807669
  • 国际标准刊号:ISSN:0253-9772
  • 国内统一刊号:ISSN:11-1913/R
  • 邮发代号:2-810
  • 获奖情况:
  • 中国自然科学核心期刊,《CAJ-CD》执行优秀奖,2008年12月获“中国精品科技期刊”证书和北京市印...
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  • 被引量:23270