首页> Frontiers in chemistry> Development of QSRR model for hydroxamic acids using PCA-GA-BP algorithm incorporated with molecular interaction-based features.

Development of QSRR model for hydroxamic acids using PCA-GA-BP algorithm incorporated with molecular interaction-based features.

导出 LinkOut

翻译打印收藏纠错

第一作者： Yiming,Nie

第一单位： Department of Medicinal Chemistry, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.

作者： Yiming,Nie ^[1] ; Jia,Li ^[2] ; Xinying,Yang ^[2] ; Xuben,Hou ^[1] ; Hao,Fang ^[1]

作者单位： Department of Medicinal Chemistry, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China. ^[1] Department of Pharmaceutical Analysis, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China. ^[2]

关键词 GA-BP HPLC PCA double cross-validation hydroxamic acids molecular docking structure retention relationships

DOI 10.3389/fchem.2022.1056701

PMID 36482937

发布时间 2022-12-10

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Frontiers in chemistry

2022年10卷

1056701页

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

点击下载本期目录封面

Frontiers in chemistry

2022年10卷

1056701页

检索历史清除

Development of QSRR model for hydroxamic acids using PCA-GA-BP algorithm incorporated with molecular interaction-based features.

Frontiers in chemistry

相似文献

同项目论文

Frontiers in chemistry

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Development of QSRR model for hydroxamic acids using PCA-GA-BP algorithm incorporated with molecular interaction-based features.

Frontiers in chemistry

相似文献

同项目论文

Frontiers in chemistry

相关期刊

检索历史清除