An integrated technology for quantitative wide mutational scanning of human antibody Fab libraries

Abstract excerpt

Antibodies are engineerable quantities in medicine. Learning antibody molecular recognition would enable the in silico design of high affinity binders against nearly any proteinaceous surface. Yet, publicly available experiment antibody sequence-binding datasets may not contain the mutagenic, antigenic, or antibody sequence diversity necessary for deep learning approaches to capture molecular recognition. In part...

Topics

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• Antibodies, Neutralizing
• Antibody Affinity
• Antigens
• Complementarity Determining Regions
• High-Throughput Nucleotide Sequencing
• Immunoglobulin Fab Fragments
• Mutation
• Protein Engineering

Identifiers and source

Literature Corpus work

724eec21-1d9f-5ac0-bd49-bfb04f9ed2f2

DOI

10.1101/2024.01.16.575852