Search research articles
Contact Us
Filters
Showing results (51-60 of 73) with videos related to
Page
of 8
Sort By:
Molecular Informatics
|
August 6, 2016
Using Support Vector Machine (SVM) for Classification of Selectivity of H1N1 Neuraminidase Inhibitors
Yang Li, Yue Kong, Mengdi Zhang, et al.
Current Computer-Aided Drug Design
|
September 21, 2019
Quantitative Structure-Activity Relationship Study for HIV-1 LEDGF/p75 Inhibitors
Yang Li, Yujia Tian, Yao Xi, et al.
Bioorganic & Medicinal Chemistry Letters
|
March 23, 2011
Prediction of biological activity of Aurora-A kinase inhibitors by multilinear regression analysis and support vector machine
Aixia Yan, Yang Chong, Liyu Wang, et al.
Combinatorial Chemistry & High Throughput Screening
|
April 15, 2016
Self-Organizing Map (SOM) and Support Vector Machine (SVM) Models for the Prediction of Human Epidermal Growth Factor Receptor (EGFR/ ErbB-1) Inhibitors
Yue Kong, Dan Qu, Xiaoyan Chen, et al.
Molecular Diversity
|
May 4, 2023
Classification of FLT3 inhibitors and SAR analysis by machine learning methods
Yunyang Zhao, Yujia Tian, Xiaoyang Pang, et al.
Chemical Biology & Drug Design
|
December 25, 2018
SAR study on inhibitors of GIIA secreted phospholipase A<sub>2</sub> using machine learning methods
Shengde Zhang, Yang Li, Zijian Qin, et al.
Molecular Diversity
|
July 21, 2023
Machine learning-based classification models for non-covalent Bruton's tyrosine kinase inhibitors: predictive ability and interpretability
Guo Li, Jiaxuan Li, Yujia Tian, et al.
Molecular Diversity
|
June 23, 2022
Classification models and SAR analysis on HDAC1 inhibitors using machine learning methods
Rourou Li, Yujia Tian, Zhenwu Yang, et al.
Combinatorial Chemistry & High Throughput Screening
|
October 25, 2013
Classification of Aurora B kinase inhibitors using computational models
Ruizi Liu, Xianglei Nie, Min Zhong, et al.
Molecular Informatics
|
August 2, 2016
Probability Based hERG Blocker Classifiers
Zhi Wang, Hamse Y Mussa, Robert Lowe, et al.
Page
of 8
Search research articles
Search
Showing results (51-60 of 73) with videos related to
Sort By:
Page
of 8
Molecular Informatics
|
August 6, 2016
Using Support Vector Machine (SVM) for Classification of Selectivity of H1N1 Neuraminidase Inhibitors
Yang Li, Yue Kong, Mengdi Zhang, et al.
Current Computer-Aided Drug Design
|
September 21, 2019
Quantitative Structure-Activity Relationship Study for HIV-1 LEDGF/p75 Inhibitors
Yang Li, Yujia Tian, Yao Xi, et al.
Bioorganic & Medicinal Chemistry Letters
|
March 23, 2011
Prediction of biological activity of Aurora-A kinase inhibitors by multilinear regression analysis and support vector machine
Aixia Yan, Yang Chong, Liyu Wang, et al.
Combinatorial Chemistry & High Throughput Screening
|
April 15, 2016
Self-Organizing Map (SOM) and Support Vector Machine (SVM) Models for the Prediction of Human Epidermal Growth Factor Receptor (EGFR/ ErbB-1) Inhibitors
Yue Kong, Dan Qu, Xiaoyan Chen, et al.
Molecular Diversity
|
May 4, 2023
Classification of FLT3 inhibitors and SAR analysis by machine learning methods
Yunyang Zhao, Yujia Tian, Xiaoyang Pang, et al.
Chemical Biology & Drug Design
|
December 25, 2018
SAR study on inhibitors of GIIA secreted phospholipase A<sub>2</sub> using machine learning methods
Shengde Zhang, Yang Li, Zijian Qin, et al.
Molecular Diversity
|
July 21, 2023
Machine learning-based classification models for non-covalent Bruton's tyrosine kinase inhibitors: predictive ability and interpretability
Guo Li, Jiaxuan Li, Yujia Tian, et al.
Molecular Diversity
|
June 23, 2022
Classification models and SAR analysis on HDAC1 inhibitors using machine learning methods
Rourou Li, Yujia Tian, Zhenwu Yang, et al.
Combinatorial Chemistry & High Throughput Screening
|
October 25, 2013
Classification of Aurora B kinase inhibitors using computational models
Ruizi Liu, Xianglei Nie, Min Zhong, et al.
Molecular Informatics
|
August 2, 2016
Probability Based hERG Blocker Classifiers
Zhi Wang, Hamse Y Mussa, Robert Lowe, et al.
Page
of 8