Author

G. Olivia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

A. C. Puhl· 1 shared A. S. Godoy· 1 shared D. H. Foil· 1 shared J. Bernatchez· 1 shared J. L. Siqueira-Neto· 1 shared J. Ricketts· 1 shared K. M. Zorn· 1 shared L. Yang· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPharmacology & Toxicology

A. C. Puhl

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Machine Learning Models Identify Inhibitors of SARS-CoV-2

V. O. Gawriljuk, P. P. Kyaw Zin, D. H. Foil, J. Bernatchez, S. Beck, N. Beutler, J. Ricketts, L. Yang, T. Rogers, A. C. Puhl, K. M. Zorn, T. R. Lane, A. S. Godoy, G. Olivia, J. L. Siqueira-Neto, , S. Ekins

The paper uses machine learning to predict SARS-CoV-2 inhibitors from FDA-approved compounds, identifying CPI1062 and CPI1155 as potential antiviral drugs.

bioRxiv · Jun 16, 2020Pharmacology & Toxicology