Li, Hongjian
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Li, Hongjian
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Results 1-6 of 6
| Issue Date | Title | Author(s) | Type | |
|---|---|---|---|---|
| 1 | 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 |
| 2 | 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 |
| 3 | 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 |
| 4 | 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 |
| 5 | 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 |
| 6 | 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 |