Author

P. Smidt

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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Immunology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:large language model· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

B. A. Kerwin· 1 shared C. C. Siska· 1 shared D. Pettit· 1 shared D. Van Citters· 1 shared J. A. Taylor· 1 shared J. M. Shaver· 1 shared J. Smith· 1 shared M. Sprague· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

B. A. Kerwin

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1 paper

Recent·Most cited

Designing Feature-Controlled Humanoid Antibody Discovery Libraries Using Generative Adversarial Networks

T. Amimeur, J. M. Shaver, R. R. Ketchem, J. A. Taylor, R. H. Clark, J. Smith, D. Van Citters, C. C. Siska, P. Smidt, M. Sprague, B. A. Kerwin, D. Pettit

This paper uses a GAN to generate diverse human antibody libraries with controlled properties, validated through phage display and biophysical evaluation.

bioRxiv · Apr 12, 2020 · PreprintImmunology