Yeast surface display for screening combinatorial polypeptide libraries

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding

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Stability engineering of antibody single-chain Fv fragments

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Global analysis of protein folding using massively parallel design, synthesis, and testing

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Directed evolution of adeno-associated virus yields enhanced gene delivery vectors

Maheshri, N., Koerber, J. T., Kaspar, B. K., & Schaffer, D. V. (2006) · Nature Biotechnology · doi:10.1038/nbt1182 · Cited by 538

Modulators of Protein–Protein Interactions

Milroy, L.-G., Grossmann, T. N., Hennig, S., Brunsveld, L., & Ottmann, C. (2014) · Chemical Reviews · doi:10.1021/cr400698c · Cited by 497

Insights into Cytokine–Receptor Interactions from Cytokine Engineering

Spangler, J. B., Moraga, I., Mendoza, J. L., & Garcia, K. C. (2015) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032713-120211 · Cited by 304

Applications of yeast in biotechnology: protein production and genetic analysis

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The power of multiplexed functional analysis of genetic variants

Gasperini, M., Starita, L., & Shendure, J. (2016) · Nature Protocols · doi:10.1038/nprot.2016.135 · Cited by 160

Measuring the sequence-affinity landscape of antibodies with massively parallel titration curves

Adams, R. M., Mora, T., Walczak, A. M., & Kinney, J. B. (2016) · eLife · doi:10.7554/elife.23156 · Cited by 137

Computational design of epitope-specific functional antibodies

Nimrod, G., Fischman, S., Austin, M., Herman, A., Keyes, F., Leiderman, O., Hargreaves, D., Strajbl, M., Breed, J., Klompus, S., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.10.081 · Cited by 77

A Specific and Covalent JNK‐1 Ligand Selected from an Encoded Self‐Assembling Chemical Library

Zimmermann, G., Rieder, U., Bajic, D., Vanetti, S., Chaikuad, A., Knapp, S., Scheuermann, J., Mattarella, M., & Neri, D. (2017) · Chemistry – A European Journal · doi:10.1002/chem.201701644 · Cited by 77

Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering

Minot, M., & Reddy, S. T. (2024) · Cell Systems · doi:10.1016/j.cels.2023.12.003 · Cited by 35

Integrating Computational Design and Experimental Approaches for Next-Generation Biologics

Son, A., Park, J., Kim, W., Lee, W., Yoon, Y., Ji, J., & Kim, H. (2024) · Biomolecules · doi:10.3390/biom14091073 · Cited by 29

Library Selection and Directed Evolution Approaches to Engineering Targeted Viral Vectors

Jang, J., Lim, K., & Schaffer, D. V. (2007) · Biotechnology and Bioengineering · doi:10.1002/bit.21541 · Cited by 26

Development of scoring functions for antibody sequence assessment and optimization

Seeliger, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076909 · Cited by 24

In vitro affinity maturation of antibody against membrane-bound GPCR molecules

Wang, J., An, L., Zhao, Y., Zhang, C., Li, S., Ye, C., Jing, S., & Hang, H. (2019) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-019-10030-x · Cited by 11

Mutational scan inferred binding energetics and structure in intrinsically disordered protein CcdA

Chandra, S., Manjunath, K., Asok, A., & Varadarajan, R. (2023) · Protein Science · doi:10.1002/pro.4580 · Cited by 7