Author

A. T. Ton

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

Biology Disciplines

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Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Organism:human· 1 Organism:mouse· 1 Organism:rat· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Ghetti· 1 shared B. Hammock· 1 shared H. M. Nguyen· 1 shared H. Wulff· 1 shared J. T. Sack· 1 shared K. M. Wagner· 1 shared M. W. Lillya· 1 shared M. W. Pennington· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

A. Ghetti

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1 paper

Recent·Most cited

Computational design of peptides to target Nav1.7 channel with high potency and selectivity for the treatment of pain

P. T. Nguyen, H. M. Nguyen, K. M. Wagner, R. Stewart, V. Singh, P. Thapa, Y.-J. Chen, M. W. Lillya, A. T. Ton, R. Kondo, A. Ghetti, M. W. Pennington, B. Hammock, T. N. Griffith, J. T. Sack, , V. Yarov-Yarovoy

The paper designs potent and selective peptide inhibitors of human NaV1.7 channels using Rosetta, with two peptides showing sub-nanomolar IC50 and high selectivity over other sodium channels.

bioRxiv · Jul 21, 2022Biophysics