Li, Hongjian
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Li, Hongjian
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Results 1-20 of 23
| Issue Date | Title | Author(s) | Type | |
|---|---|---|---|---|
| 1 | 2021 | Machine-learning scoring functions trained on complexes dissimilar to the test set already outperform classical counterparts on a blind benchmark | Li, Hongjian ; Lu, gang ; Sze, Kam-Heung ; Su, Xianwei ; Chan, Wai-Yee ; Prof. LEUNG Kwong Sak | Peer Reviewed Journal Article |
| 2 | Jul-2019 | Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional network | Liu, Pengfei ; Li, Hongjian ; Li, Shuai ; Prof. LEUNG Kwong Sak | Peer Reviewed Journal Article |
| 3 | Mar-2019 | MolTarPred: A web tool for comprehensive target prediction with reliability estimation | Peón, Antonio ; Li, Hongjian ; Ghislat, Ghita ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Lu, Gang ; Ballester, Pedro J. | Peer Reviewed Journal Article |
| 4 | Jun-2018 | Discovery of rafoxanide as a dual CDK4/6 inhibitor for the treatment of skin cancer | Shi, Xinan ; Li, Hongjian ; Shi, Anhua ; Yao, Hong ; Ke, Kun-Bin ; Dong, Chao ; Zhu, Ying ; Qin, Yi ; Ding, Ying ; He, Yan Hong ; Liu Xu ; Li, Ling ; Lei, Ling ; Hai, Qingshan ; Chen, Wei ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Kung, Hsiang-Fu ; Lin, Marie, Chia-mi | Peer Reviewed Journal Article |
| 5 | 2018 | The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction | Li, Hongjian ; Peng, Jiangjun ; Leung, Yee ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Lu, Gang ; Ballester, Pedro J. | Peer Reviewed Journal Article |
| 6 | 2017 | In silico prediction and in vitro and in vivo validation of acaricide fluazuron as a potential inhibitor of FGFR3 and a candidate anticancer drug for bladder carcinoma | Ke, Kunbin ; Li, Hongjian ; Yao, Hong ; Shi, Xi-Nan ; Dong, Chao ; Zhu, Ying ; Liu, Xu ; Li, Ling ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Liu, Xiao-Dong ; Kung, Hsiang-fu ; Lin, Marie Chia-mi | Peer Reviewed Journal Article |
| 7 | 2017 | Econazole nitrate inhibits PI3K activity and promotes apoptosis in lung cancer cells | Dong, Chao ; Yang, Runxiang ; Li, Hongjian ; Ke, Kunbin ; Luo, Chunxiang ; Yang, Fang ; Shi, Xi-Nan ; Zhu, Ying ; Liu, Xu ; Wong, Man-Hon ; Lin, Guimiao ; Wang, Xiaomei ; Prof. LEUNG Kwong Sak ; Kung, Hsiang-Fu ; Chen, Ceshi ; Lin, Marie Chia-mi | Peer Reviewed Journal Article |
| 8 | 2017 | Identification of clinically approved drugs indacaterol and canagliflozin for repurposing to treat epidermal growth factor tyrosine kinase inhibitor-resistant lung cancer | Li, Hongjian ; Tong, Christy Wing-Sum ; Leung, Yee ; Wong, Man-Hon ; To, Kenneth Kin-Wah ; Prof. LEUNG Kwong Sak | Peer Reviewed Journal Article |
| 9 | 2016 | USR-VS: a web server for large-scale prospective virtual screening using ultrafast shape recognition techniques | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-H. ; Ballester, Pedro J. | Peer Reviewed Journal Article |
| 10 | 2016 | Correcting the impact of docking pose generation error on binding affinity prediction | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. | Peer Reviewed Journal Article |
| 11 | 2015 | The importance of the regression model in the structure-based prediction of protein-ligand binding | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. | Conference Paper |
| 12 | 2015 | The Impact of Docking Pose Generation Error on the Prediction of Binding Affinity | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. | Conference Paper |
| 13 | 2015 | Low-Quality Structural and Interaction Data Improves Binding Affinity Prediction via Random Forest | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. | Peer Reviewed Journal Article |
| 14 | 2015 | In silico identification and in vitro and in vivo validation of anti-psychotic drug fluspirilene as a potential CDK2 inhibitor and a candidate anti-cancer drug | Shi, Xi-Nan ; Li, Hongjian ; Yao, Hong ; Liu, Xu ; Li, Ling ; Prof. LEUNG Kwong Sak ; Kung, Hsiangfu ; Lu, Di ; Wong, Man-Hon ; Lin, Marie Chia-Mi | Peer Reviewed Journal Article |
| 15 | 2015 | Improving autodock vina using random forest: The growing accuracy of binding affinity prediction by the effective exploitation of larger data sets | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. | Peer Reviewed Journal Article |
| 16 | 2015 | The use of random forest to predict binding affinity in docking | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. | Conference Paper |
| 17 | 2015 | Adapalene inhibits the activity of cyclin-dependent kinase 2 in colorectal carcinoma | Shi, Xi‑Nan ; Li, Hongjian ; Yao, Hong ; Liu, Xu ; Li, Ling ; Prof. LEUNG Kwong Sak ; Kung, Hsiang‑Fu ; Lin, Marie Chia‑Mi | Peer Reviewed Journal Article |
| 18 | 2014 | iSyn: WebGL-Based Interactive De Novo Drug Design | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Chan, Ho Chan ; Cheung, Hei Lun ; Wong, Man-Hon | Peer Reviewed Journal Article |
| 19 | 2014 | Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J | Peer Reviewed Journal Article |
| 20 | 2014 | iSYN: de novo drug design with click chemistry support | Li, Hongjian ; Prof. LEUNG Kwong Sak ; Chan, Chun Ho ; Cheung, Hei Lun ; Wong, Man-Hon | Peer Reviewed Journal Article |