Author

Miranda C. Lahman

ORCID 0000-0002-4820-6222Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:protein sequence· 1 Assay:protein structure· 1

Frequent Co-Authors

Aditya A. Agarwal· 2 shared Adrian W. Lange· 2 shared David A. YoungeriD· 2 shared David Noble· 2 shared Emily Engelhart· 2 shared James Harrang· 2 shared Kerry L. McGowaniD· 2 shared Randolph M. Lopez· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSynthetic Biology

Aditya A. Agarwal

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintApr 19, 2026

The Synthetic Epitope Atlas: High-Throughput Design and Validation of De Novo Antibody-Antigen Complexes

Nicholas Altieri, Joseph L. Harman, David Noble…·Adrian W. Lange

The paper generates and validates synthetic epitope proteins to improve de novo antibody design by combining computational design with high-throughput experimental binding data.

1 citation

protein structureexperimental assay

𝕏 PostBluesky

Synthetic BiologymAbsPeer-reviewedJul 22, 2025

AlphaBind, a Domain-Specific Model to Predict and Optimize Antibody-Antigen Binding Affinity

Aditya A. Agarwal, James Harrang, David Noble…·Ryan Emerson

AlphaBind predicts and optimizes antibody-antigen binding affinity using a domain-specific model trained on quantitative binding data.

17 citationstop 1%

protein sequencedeep learning

𝕏 PostBluesky