Browsing by Author Li, Hongjian


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Showing results 6 to 23 of 23 < previous 
Issue DateTitleAuthor(s)Type
2017Identification of clinically approved drugs indacaterol and canagliflozin for repurposing to treat epidermal growth factor tyrosine kinase inhibitor-resistant lung cancerLi, Hongjian ; Tong, Christy Wing-Sum ; Leung, Yee ; Wong, Man-Hon ; To, Kenneth Kin-Wah ; Prof. LEUNG Kwong Sak Peer Reviewed Journal Article
2012Idock: A multithreaded virtual screening tool for flexible ligand dockingLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon Conference Paper
2015The Impact of Docking Pose Generation Error on the Prediction of Binding AffinityLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. Conference Paper
2018The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity PredictionLi, Hongjian ; Peng, Jiangjun ; Leung, Yee ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Lu, Gang ; Ballester, Pedro J. Peer Reviewed Journal Article
2015The importance of the regression model in the structure-based prediction of protein-ligand bindingLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. Conference Paper
2015Improving autodock vina using random forest: The growing accuracy of binding affinity prediction by the effective exploitation of larger data setsLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. Peer Reviewed Journal Article
Jul-2019Improving prediction of phenotypic drug response on cancer cell lines using deep convolutional networkLiu, Pengfei ; Li, Hongjian ; Li, Shuai ; Prof. LEUNG Kwong Sak Peer Reviewed Journal Article
2015In silico identification and in vitro and in vivo validation of anti-psychotic drug fluspirilene as a potential CDK2 inhibitor and a candidate anti-cancer drugShi, 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
2017In 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 carcinomaKe, 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
2014iSYN: de novo drug design with click chemistry supportLi, Hongjian ; Prof. LEUNG Kwong Sak ; Chan, Chun Ho ; Cheung, Hei Lun ; Wong, Man-Hon Peer Reviewed Journal Article
2014iSyn: WebGL-Based Interactive De Novo Drug DesignLi, Hongjian ; Prof. LEUNG Kwong Sak ; Chan, Ho Chan ; Cheung, Hei Lun ; Wong, Man-Hon Peer Reviewed Journal Article
2014iview: an interactive WebGL visualizer for protein-ligand complexLi, Hongjian ; Prof. LEUNG Kwong Sak ; Nakane, Takanori ; Wong , Man-Hon Peer Reviewed Journal Article
2015Low-Quality Structural and Interaction Data Improves Binding Affinity Prediction via Random ForestLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. Peer Reviewed Journal Article
2021Machine-learning scoring functions trained on complexes dissimilar to the test set already outperform classical counterparts on a blind benchmarkLi, Hongjian ; Lu, gang ; Sze, Kam-Heung ; Su, Xianwei ; Chan, Wai-Yee ; Prof. LEUNG Kwong Sak Peer Reviewed Journal Article
Mar-2019MolTarPred: A web tool for comprehensive target prediction with reliability estimationPeón, Antonio ; Li, Hongjian ; Ghislat, Ghita ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Lu, Gang ; Ballester, Pedro J. Peer Reviewed Journal Article
2014Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case studyLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J Peer Reviewed Journal Article
2015The use of random forest to predict binding affinity in dockingLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. Conference Paper
2016USR-VS: a web server for large-scale prospective virtual screening using ultrafast shape recognition techniquesLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-H. ; Ballester, Pedro J. Peer Reviewed Journal Article
Showing results 6 to 23 of 23 < previous