Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bing-Ke Li"'
Autor:
Fei-Fan Xu, Bing-Ke Li, Tao Wang, Cheng Chen, Gao-Xue Wang, Zhong-Chen Sun, Hai-Feng Jiang, Jing-Lei Shen
Publikováno v:
Journal of Fish Diseases. 44:1503-1513
White spot syndrome virus (WSSV) is a serious pathogen threatening global crustacean aquaculture with no commercially available drugs. Herbal medicines widely used in antiviral research offer a rich reserve for drug discovery. Here, we investigated t
Publikováno v:
Aquaculture. 548:737664
It is widely acknowledged that the malformed fish shows low resistance to diseases due to abnormal development of body, leading to the decrease of viability. Until now, there is no evidence for the relationship between developmental abnormalities and
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 147:30-40
Over-expression of matrix metalloproteinases (MMPs) has been linked to a variety of serious pathological disorders. Methods of predicting and screening vigorous and selective MMP inhibitors are urgently needed for facilitating the design and developm
Autor:
Bing-Ke. Li, Ying Xue, Xiao-Long. Qiu, Luo-Ting. Yu, Teng-Kuei. Yang, Yong. Luo, sup> 四川大学华西医院生物治疗国家重点实验室,肿瘤中心及生物治疗协同创新中心,成都 ,, Bing. He, sup> 江苏海门慧聚药业有限公司,江苏海门 ,, sup> 成都师范学院化学与生命科学学院,成都 ,, sup> 四川大学化学学院, 成都 ,, sup> 江苏兆邦生物医药研究院有限公司,江苏南通 ,
Publikováno v:
Acta Physico-Chimica Sinica. 31:1795-1802
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 127:35-42
The quantitative structure–activity relationship (QSAR) for the prediction of the activity of two different scaffolds of 108 influenza neuraminidase A/PR/8/34 (H1N1) inhibitors was investigated. A feature selection method, which combines Genetic Al
Publikováno v:
Computers in biology and medicine. 43(4)
We tested four machine learning methods, support vector machine (SVM), k-nearest neighbor, back-propagation neural network and C4.5 decision tree for their capability in predicting spleen tyrosine kinase (Syk) inhibitors by using 2592 compounds which