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Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning

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Monoclonal antibodies isolated without screening by analyzing the variable-gene repertoire of plasma cells

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Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires

Greiff, V., Miho, E., Menzel, U., & Reddy, S. T. (2015) · Trends in Immunology

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Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires

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A bioinformatic framework for immune repertoire diversity profiling enables detection of immunological status

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Large-scale network analysis reveals the sequence space architecture of antibody repertoires

Miho, E., Roškar, R., Greiff, V., & Reddy, S. T. (2019) · Nature Communications

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Tissue-resident memory CD8 + T cells cooperate with CD4 + T cells to drive compartmentalized immunopathology in the CNS

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

Minot, M., & Reddy, S. T. (2024) · Cell Systems

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Meta Learning Improves Robustness and Performance in Machine Learning-Guided Protein Engineering

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Reprogramming MHC specificity by CRISPR-Cas9-assisted cassette exchange

Kelton, W., Waindok, A. C., Pesch, T., Pogson, M., Ford, K., Parola, C., & Reddy, S. T. (2017) · Scientific Reports

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Protein language model pseudolikelihoods capture features of in vivo B cell selection and evolution

van Ginneken, D., Samant, A., Daga-Krumins, K., Glänzer, W., Agrafiotis, A., Kladis, E., Reddy, S. T., & Yermanos, A. (2025) · Briefings in Bioinformatics

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