Department of Applied Data Science

Refined By:
Author:  Wong, Man-Hon
Author:  Ballester, Pedro J.
Author:  Li, Hongjian

Results 1-8 of 8

Issue DateTitleAuthor(s)Type
12016Correcting the impact of docking pose generation error on binding affinity predictionLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. Peer Reviewed Journal Article
22015The 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
32018The 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
42015The 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
52015Improving 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
62015Low-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
7Mar-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
82015The use of random forest to predict binding affinity in dockingLi, Hongjian ; Prof. LEUNG Kwong Sak ; Wong, Man-Hon ; Ballester, Pedro J. Conference Paper