修志龙

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:生物工程学院

学科:生物化工. 生物工程与技术

联系方式:zhlxiu@dlut.edu.cn

电子邮箱:zhlxiu@dlut.edu.cn

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A novel and efficient ligand-based virtual screening approach using the HWZ scoring function and an enhanced shape-density model

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论文类型:期刊论文

发表时间:2013-11-01

发表刊物:JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

收录刊物:SCIE、Scopus

卷号:31

期号:11

页面范围:1236-1250

ISSN号:0739-1102

关键字:ligand shape-based virtual screening; useful Decoys (DUD); area under the ROC curve (AUC)

摘要:In this work, we extend our previous ligand shape-based virtual screening approach by using the scoring function Hamza-Wei-Zhan (HWZ) score and an enhanced molecular shape-density model for the ligands. The performance of the method has been tested against the 40 targets in the Database of Useful Decoys and compared with the performance of our previous HWZ score method. The virtual screening results using the novel ligand shape-based approach demonstrated a favorable improvement (area under the receiver operator characteristics curve AUC=.89 +/-.02) and effectiveness (hit rate HR1%=53.0%+/- 6.3 and HR10%=71.1%+/- 4.9). The comparison of the overall performance of our ligand shape-based method with the highest ligand shape-based virtual screening approach using the data fusion of multi queries showed that our strategy takes into account deeper the chemical information of the set of active ligands. Furthermore, the results indicated that our method are suitable for virtual screening and yields superior prediction accuracy than the other study derived from the data fusion using five queries. Therefore, our novel ligand shape-based screening method constitutes a robust and efficient approach to the 3D similarity screening of small compounds and open the door to a whole new approach to drug design by implementing the method in the structure-based virtual screening.