Author

A. D. Hildreth

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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Microbiology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

A. J. Gonzalez· 1 shared D. E. Hammers· 1 shared F. R. Fields· 1 shared I. Friedberg· 1 shared J. N. Ross· 1 shared K. E. Carothers· 1 shared M. N. Hamid· 1 shared S. D. Freed· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

A. J. Gonzalez

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1 paper

Recent·Most cited

Novel antimicrobial peptide discovery using machine learning and biophysical selection of minimal bacteriocin domains

F. R. Fields, S. D. Freed, K. E. Carothers, M. N. Hamid, D. E. Hammers, J. N. Ross, V. R. Kalwajtys, A. J. Gonzalez, A. D. Hildreth, I. Friedberg, S. W. Lee

This study develops a pipeline combining machine learning and biophysical filters to design and test minimal bacteriocin peptides for antimicrobial activity.

bioRxiv · May 4, 2018Microbiology