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)

Comparative analysis of chemical similarity methods for modular natural products with a hypothetical structure enumeration algorithm. - Michael A. Skinnider; Chris A. Dejong; Brian C. Franczak; Paul D. McNicholas; Nathan A. Magarvey (J. Cheminformatics, 2017)

PRISM 3: expanded prediction of natural product chemical structures from microbial genomes. - Michael A. Skinnider; Nishanth J. Merwin; Chad W. Johnston; Nathan A. Magarvey (Nucleic Acids Res., 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)

Invalid SMILES are beneficial rather than detrimental to chemical language models. - Michael A. Skinnider (Nat. Mac. Intell., 2024)