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Understanding Traditional Chinese Medicine by Simulating Their Regulatory Functions on Disease Relat
[会议论文] 作者：Luhua Lai,
来源：The 11th International Bioinformatics Workshop (IBW2013)(第十一 年份：2013
The concept of traditional Chinese medicine(TCM)coincides with systems biology that human diseases should be treated as a whole using drug combinations....
[会议论文] 作者：Luhua Lai,
来源：第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会 年份：2014
Designing functional proteins is the ultimate test for our understandings of protein structure and function relationship.Protein-protein interactions play e...
[会议论文] 作者：Luhua Lai,
来源：2015国际分子生物物理学前沿研讨会暨2015计算化学国际前沿研讨会 年份：2015
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Understanding Traditional Chinese Medicine by Simulating Their Regulatory Functions on Disease Relat
[会议论文] 作者：Luhua Lai,
来源：The 11th International Bioinformatics Workshop (IBW2013)(第十一 年份：2013
The concept of traditional Chinese medicine(TCM)coincides with systems biology that human diseases should be treated as a whole using drug combinations....
[会议论文] 作者：Luhua Lai,
来源：中以双边国际会议:药物设计理论与实验方法研讨会 年份：2010
...
[会议论文] 作者：Shunchen Qiu,Luhua Lai,
来源：the 3rd Asia Pacific Protein Association Conference in ConJu 年份：2011
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[会议论文] 作者：Changsheng Zhang,Luhua Lai,
来源：the 3rd Asia Pacific Protein Association Conference in ConJu 年份：2011
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[会议论文] 作者：Changsheng Zhang,Luhua Lai,
来源：第二届全国“跨学科蛋白质研究”学术讨论会 年份：2008
...
[会议论文] 作者：Xiaolei Zhu,Luhua Lai,
来源：第二届全国“跨学科蛋白质研究”学术讨论会 年份：2008
Rational design of enzymes is a stringent test of our understanding of protein structure and function relationship which also has numerous potential applications.We present a novel method for enzyme d...
[期刊论文] 作者：Tanlin Sun,Luhua Lai,Jianfeng Pei,
来源：定量生物学（英文版） 年份：2018
Background:Computational tools have been widely used in drug discovery process since they reduce the time and cost.Prediction of whether a protein is druggable...
[会议论文] 作者：Cong Li,Xiaowen Xie,Luhua Lai,
来源：中国生物化学与分子生物学会第十一次会员代表大会暨2014年全国学术会议 年份：2014
...
[会议论文] 作者：Ning Yin,Jianfeng Pei,Luhua Lai,
来源：第五届全国生物信息学与系统生物学学术大会 年份：2012
Background: Bacterial persisters are a tiny fraction of preexisting dormant cells inside bacterial populations.Although isogenic with the rest of the popula...
[会议论文] 作者：Hao Liang,Youjun Xu,Luhua Lai,
来源：2019中国化学会第十五届全国计算(机)化学学术会议 年份：2019
Herb medicines(HMs)have been used for treating various diseases since pre-historic times and remain popular globally at modern age....
[会议论文] 作者：Xiaoyu Qing,Hanyu Xu,Luhua Lai,
来源：2019中国化学会第十五届全国计算(机)化学学术会议 年份：2019
Cancer cells adapt their metabolic programs to drive macromolecular biosynthesis for rapid cell growth and proliferation....
[会议论文] 作者：WEI DENG,AONENG CAO,LUHUA LAI,
来源：第二届全国“跨学科蛋白质研究”学术讨论会 年份：2008
Amyloid fibrils are characterized by a common structural component, the cross-β spine.Although this core structure was identified some time ago byX-ray dif...
[期刊论文] 作者：Jing Yuan,Luhua Lai,Chao Tang,
来源：定量生物学（英文版） 年份：2015
OVERVIEWIn the 21st century,scientific research is becoming more and more interdisciplinary.New discoveries are often made at the boundaries of different discip...
[会议论文] 作者：Jianfeng Pei,Yaxia Yuan,Luhua Lai,
来源：第九届IUPAC化学生物学国际研讨会暨第八届世界华人药物化学研讨会 年份：2012
To increase the applicability of computational de novo drugdesign,we have developed a new generation of this program,LigBuilder 2.0.With this version,the synthesis accessibility ofdesigned compounds c...
Development of a Deep Learning Model for Binding Affinity Prediction and Fragment-based de novo Drug
[会议论文] 作者：Shiwei Wang,Jianfeng Pei,Luhua Lai,
来源：中国生物化学与分子生物学会第十二届会员代表大会暨2018年全国学术会议 年份：2018
The traditional drug design and discovery methods were time-consuming and expensive,which largely reduced the efficiency of drug design process.Computer-based de novo drug design was applied to accele...
[会议论文] 作者：Hengyi Li,Changsheng Zhang,Luhua Lai,
来源：中国生物化学与分子生物学会第十二届会员代表大会暨2018年全国学术会议 年份：2018
...
[会议论文] 作者：Huanhuan Liang,Yifei Qi,LuHua Lai,
来源：第二届全国“跨学科蛋白质研究”学术讨论会 年份：2008
The great success in de novo protein design indicates the coming of a new protein engineering era.Many progresses in structure design have been made.One of the challenges was to understand the interac...
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