Name
Ballester, Pedro J.
 
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Results 1-7 of 7

Issue DateTitleAuthor(s)Type
1Mar-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
22018The 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
32016USR-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
42016Correcting 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
52015Low-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
62015Improving 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
72014istar: A Web Platform for Large-Scale Protein-Ligand DockingLi , Hongjian ; Prof. LEUNG Kwong Sak ; Ballester, Pedro J. ; Wong, Man-Hon Peer Reviewed Journal Article