Michael A. Skinnider

According to our database, Michael A. Skinnider authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Invalid SMILES are beneficial rather than detrimental to chemical language models.

Michael A. Skinnider

Nat. Mac. Intell., 2024

2021

A deep generative model enables automated structure elucidation of novel psychoactive substances.

Michael A. Skinnider, Fei Wang, Daniel Pasin, Russell Greiner, Leonard J. Foster, Petur W. Dalsgaard, David S. Wishart

Nat. Mach. Intell., 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

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

2018

Genomic data integration systematically biases interactome mapping.

Michael A. Skinnider, R. Greg Stacey, Leonard J. Foster

PLoS Comput. Biol., 2018

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

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

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