Andreas Verras

According to our database, Andreas Verras authored at least 5 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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, James Duffy, Jeremy N. Burrows, J. Mark F. Gardner, Andrew R. Leach

J. Cheminformatics, 2021

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, 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

Performance of multiple docking and refinement methods in the pose prediction D3R prospective Grand Challenge 2016.

Xavier Fradera, Andreas Verras, Yuan Hu, 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

2017

Is Multitask Deep Learning Practical for Pharma?

Bharath Ramsundar, Bowen Liu, Zhenqin Wu, Andreas Verras, Matthew Tudor, Robert P. Sheridan, Vijay S. Pande

J. Chem. Inf. Model., August, 2017

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