Author

S. Wshah

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:proteomics· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

C. M. Van Oort· 2 shared J. B. Ferrell· 2 shared J. Li· 2 shared J. M. Remington· 2 shared M. J. Wargo· 1 shared M. Sharafi· 1 shared R. Aboushousha· 1 shared S. T. Schneebeli· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersBiophysics

C. M. Van Oort

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2 papers

Recent·Most cited

AMPGAN v2: Machine Learning Guided Discovery of Anti-Microbial Peptides

C. M. Van Oort, J. B. Ferrell, J. M. Remington, S. Wshah, J. Li

AMPGAN v2 generates novel antimicrobial peptides with higher precision and selectivity for resistant targets using a bidirectional conditional generative adversarial network.

bioRxiv · Nov 18, 2020 · PreprintBiophysics

A Generative Approach toward Precision Antimicrobial Peptide Design

J. B. Ferrell, J. M. Remington, C. M. Van Oort, M. Sharafi, R. Aboushousha, Y. Janssen-Heininger, S. T. Schneebeli, M. J. Wargo, S. Wshah, J. Li

This paper develops a generative model to design antimicrobial peptides with high activity and selectivity, validated through molecular simulations and experimental testing.

bioRxiv · Oct 2, 2020 · PreprintBiophysics