Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Hong-Zong Si"'
Selected, peer reviewed papers from the 2014 International Conference on Materials Science and Computational Engineering (ICMSCE 2014), May 20-21, 2014, Qingdao, China
Selected, peer reviewed papers from the 2014 International Conference on Applied Sciences, Engineering and Technology (ICASET 2014), July 28-29, 2014, Qingdao, China
Selected, peer reviewed papers from the 2013 International Forum on Materials Analysis and Testing Technology (IFMATT 2013), December 9-10, 2013, Qingdao, China
Autor:
Qian-qian Liang, Xintian Shen, Haiye Luan, Jihong Fan, Gaopeng Song, Shuwen Liu, Yibin Li, Hong-zong Si, Sumei Li
Publikováno v:
RSC Advances. 5:39145-39154
A series of 3-O-β-chacotriosyl oleanane-type triterpenes have been designed, synthesized and evaluated as H5N1 entry inhibitors, based on a small molecule inhibitor, saponin 1, previously discovered by us. Detailed structure–activity relationship
Publikováno v:
Asian Pacific Journal of Cancer Prevention. 15:9367-9373
In diagnosis of lung cancer, rapid distinction between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) tumors is very important. Serum markers, including lactate dehydrogenase (LDH), C-reactive protein (CRP), carcino-embryonic an
Publikováno v:
Advanced Materials Research. :1010-1013
The coffee flavor compounds acquire a significant place in the improving the flavor of cigarette. In the present paper, the support vector machine is used to develop quantitative relationships between the retention time and four molecular descriptors
Publikováno v:
Advanced Materials Research. :3153-3156
The coffee flavor compounds acquire a significant place in the improving the flavor of cigarette. In the present paper, the gene expression programming (GEP) is used to develop quantitative relationships between the retention time (TR) and four molec
Publikováno v:
Advanced Materials Research. :1291-1294
Using the GEP,the QSAR model for anti-cancer activity of 38 compounds in 5 cancer cell lines was establish. These compounds are a novel class of anticarcinogen named tricyclic 5:7:5-fused diimidazo [4, 5-d:4, 5-f ][1, diazepines. The carcinoma cell l
Autor:
Xiaodong Zhang, Wei Long, Saijun Fan, Pei-Xun Liu, Ze-wei Zhou, Hong-zong Si, Xiu Shen, Hao Wang
Publikováno v:
Chemical Research in Chinese Universities. 29:519-525
A novel machine learning method, gene expression programming(GEP), was employed to build quatitative structure-activity relationship(QSAR) models for predicting the enhancement effect of nitroimidazole compounds on irradiation. The models were based
Publikováno v:
Bioorganic & Medicinal Chemistry. 14:4834-4841
The gene expression programming, a novel machine learning algorithm, is used to develop quantitative model as a potential screening mechanism for a series of 1,4-dihydropyridine calcium channel antagonists for the first time. The heuristic method was