Shared Consensus Machine Learning Models for Predicting Blood Stage Malaria Inhibition. - Andreas Verras; Chris L. Waller; Peter Gedeck; Darren V. S. Green; Thierry Kogej; Anandkumar Raichurkar; Manoranjan Panda; Anang A. Shelat; Julie Clark; R. Kiplin Guy; George Papadatos; Jeremy N. Burrows (J. Chem. Inf. Model., 2017)

Is Multitask Deep Learning Practical for Pharma? - Bharath Ramsundar; Bowen Liu 014; Zhenqin Wu; Andreas Verras; Matthew Tudor; Robert P. Sheridan; Vijay S. Pande (J. Chem. Inf. Model., 2017)

Performance of multiple docking and refinement methods in the pose prediction D3R prospective Grand Challenge 2016. - Xavier Fradera; Andreas Verras; Yuan Hu 002; Deping Wang; Hongwu Wang; James I. Fells; Kira A. Armacost; Alejandro Crespo; Brad Sherborne; Huijun Wang; Zhengwei Peng; Ying-Duo Gao (J. Comput. Aided Mol. Des., 2018)

Workflows and performances in the ranking prediction of 2016 D3R Grand Challenge 2: lessons learned from a collaborative effort. - Ying-Duo Gao; Yuan Hu 002; Alejandro Crespo; Deping Wang; Kira A. Armacost; James I. Fells; Xavier Fradera; Hongwu Wang; Huijun Wang; Brad Sherborne; Andreas Verras; Zhengwei Peng (J. Comput. Aided Mol. Des., 2018)

MAIP: a web service for predicting blood-stage malaria inhibitors. - Nicolas Bosc; Eloy Felix; Ricardo Arcila; David Mendez; Martin R. Saunders; Darren V. S. Green; Jason Ochoada; Anang A. Shelat; Eric J. Martin; Preeti Iyer; Ola Engkvist; Andreas Verras; et al. (J. Cheminformatics, 2021)