Author

J. Schilz

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

Frequent Co-Authors

B. Carter· 1 shared D. K. Gifford· 1 shared G. Horny· 1 shared G. Liu· 1 shared H. Zeng· 1 shared J. Mueller· 1 shared M. E. Birnbaum· 1 shared S. Ewert· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

B. Carter

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1 paper

Recent·Most cited

Antibody Complementarity Determining Region Design Using High-Capacity Machine Learning

G. Liu, H. Zeng, J. Mueller, B. Carter, Z. Wang, J. Schilz, G. Horny, M. E. Birnbaum, S. Ewert, D. K. Gifford

This paper introduces a machine learning method to design human IgG antibodies with superior target affinity and specificity, using high-throughput data without requiring target structural information.

bioRxiv · Sep 3, 2019Immunology