MAPU: Max-Planck Unified database of organellar, cellular, tissue and body fluid proteomes. - Yanling Zhang; Yong Zhang 036; Jun Adachi; Jesper V. Olsen; Rong Shi; Gustavo de Souza; Erica Pasini; Leonard J. Foster; Boris Macek; Alexandre Zougman; Chanchal Kumar; Jacek R. Wisniewski; et al. (Nucleic Acids Res., 2007)

PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. - Nancy Y. Yu; James R. Wagner; Matthew R. Laird; Gabor Melli; Sébastien Rey; Raymond Lo; Phuong Dao; Süleyman Cenk Sahinalp; Martin Ester; Leonard J. Foster; Fiona S. L. Brinkman (Bioinform., 2010)

RaftProt: mammalian lipid raft proteome database. - Anup Shah; David Chen 002; Akash R. Boda; Leonard J. Foster; Melissa J. Davis; Michelle M. Hill (Nucleic Acids Res., 2015)

A rapid and accurate approach for prediction of interactomes from co-elution data (PrInCE). - R. Greg Stacey; Michael A. Skinnider; Nichollas E. Scott; Leonard J. Foster (BMC Bioinform., 2017)

Genomic data integration systematically biases interactome mapping. - Michael A. Skinnider; R. Greg Stacey; Leonard J. Foster (PLoS Comput. Biol., 2018)

PrInCE: an R/Bioconductor package for protein-protein interaction network inference from co-fractionation mass spectrometry data. - Michael A. Skinnider; Charley Cai; R. Greg Stacey; Leonard J. Foster (Bioinform., 2021)

Chemical language models enable navigation in sparsely populated chemical space. - Michael A. Skinnider; R. Greg Stacey; David S. Wishart; Leonard J. Foster (Nat. Mach. Intell., 2021)

A deep generative model enables automated structure elucidation of novel psychoactive substances. - Michael A. Skinnider; Fei Wang 062; Daniel Pasin; Russell Greiner; Leonard J. Foster; Petur W. Dalsgaard; David S. Wishart (Nat. Mach. Intell., 2021)