Computer Software for Risk Assessment. - Nigel Greene (J. Chem. Inf. Comput. Sci., 1997)

Evaluation of a Published in Silico Model and Construction of a Novel Bayesian Model for Predicting Phospholipidosis Inducing Potential. - Dennis J. Pelletier; Daniel K. Gehlhaar; Anne Tilloy-Ellul; Theodore O. Johnson; Nigel Greene (J. Chem. Inf. Model., 2007)

A CTD-Pfizer collaboration: manual curation of 88 000 scientific articles text mined for drug-disease and drug-phenotype interactions. - Allan Peter Davis; Thomas C. Wiegers; Phoebe M. Roberts; Benjamin L. King; Jean M. Lay; Kelley Lennon-Hopkins; Daniela Sciaky; Robin J. Johnson; Heather Keating; Nigel Greene; Robert Hernandez; Kevin J. McConnell; et al. (Database J. Biol. Databases Curation, 2013)

Industry-scale application and evaluation of deep learning for drug target prediction. - Noé Sturm; Andreas Mayr; Thanh Le Van; Vladimir I. Chupakhin; Hugo Ceulemans; Jörg K. Wegner; José Felipe Golib Dzib; Nina Jeliazkova; Yves Vandriessche; Stanislav Böhm; Vojtech Cima; Jan Martinovic; et al. (J. Cheminformatics, 2020)

Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction. - Peizhen Bai; Filip Miljkovic; Yan Ge; Nigel Greene; Bino John; Haiping Lu (BIBM, 2021)

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. - Zhaoyue Sun; Jiazheng Li 002; Gabriele Pergola; Byron C. Wallace; Bino John; Nigel Greene; Joseph Kim; Yulan He 001 (EMNLP, 2022)

Data-driven federated learning in drug discovery with knowledge distillation. - Thierry Hanser; Ernst Ahlberg; Alexander Amberg; Lennart T. Anger; Chris Barber; Richard J. Brennan; Alessandro Brigo; Annie Delaunois; Susanne Glowienke; Nigel Greene; Laura Johnston; Daniel Kuhn; et al. (Nat. Mac. Intell., 2025)