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	Computational Strategy for Bound State Structure Prediction in Structure-Based Virtual Screening: A Case Study of Protein Tyrosine Phosphatase Receptor Type O Inhibitors
	Hou, Xuben; Rooklin, David; Yang, Duxiao; Liang, Xiao; Li, Kangshuai; Lu, Jianing; Wang, Cheng; Xiao, Peng; Zhang, Yingkai; Sun, Jin 更多
刊名	JOURNAL OF CHEMICAL INFORMATION AND MODELING
	2018
卷号	58期号:11页码:2331-2342
DOI	10.1021/acs.jcim.8b00548
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4583941
专题	山东大学
作者单位	1.Shandong Univ, Dept Med Chem, Sch Pharm, Jinan 250012, Shandong, Peoples R China. 2.[Hou, Xuben 3.Liang, Xiao 4.Fa
推荐引用方式 GB/T 7714	Hou, Xuben,Rooklin, David,Yang, Duxiao,et al. Computational Strategy for Bound State Structure Prediction in Structure-Based Virtual Screening: A Case Study of Protein Tyrosine Phosphatase Receptor Type O Inhibitors[J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING,2018,58(11):2331-2342.
APA	Hou, Xuben.,Rooklin, David.,Yang, Duxiao.,Liang, Xiao.,Li, Kangshuai.,...&Sun, Jin 更多.(2018).Computational Strategy for Bound State Structure Prediction in Structure-Based Virtual Screening: A Case Study of Protein Tyrosine Phosphatase Receptor Type O Inhibitors.JOURNAL OF CHEMICAL INFORMATION AND MODELING,58(11),2331-2342.
MLA	Hou, Xuben,et al."Computational Strategy for Bound State Structure Prediction in Structure-Based Virtual Screening: A Case Study of Protein Tyrosine Phosphatase Receptor Type O Inhibitors".JOURNAL OF CHEMICAL INFORMATION AND MODELING 58.11(2018):2331-2342.

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