Author

S. N. Dean

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Bioengineering· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Approach:variational autoencoder· 1

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A. P. Malanoski· 1 shared D. Zabetakis· 1 shared J. A. E. Alvarez· 1 shared S. A. Walper· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperBioengineering

A. P. Malanoski

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1 paper

Recent·Most cited

BioengineeringbioRxivApr 7, 2021

PepVAE3: variational autoencoder framework for antimicrobial peptide generation and activity prediction

S. N. Dean, J. A. E. Alvarez, D. Zabetakis…·A. P. Malanoski

PepVAE3 generates antimicrobial peptides using a variational autoencoder and predicts their activity based on sequence and MIC data, enabling controlled design of novel AMPs with experimental validation.

DOI 10.3389/fmicb.2021.725727

protein sequencedeep learning

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