AbBFN2: A flexible antibody foundation model based on Bayesian Flow Networks

Abstract excerpt

Antibody engineering is marked by diverse data and desiderata, making it a prime candidate for multi-objective design, but is commonly tackled as a series of sequential optimisation tasks. Here, we present AbBFN2, a generative antibody foundation model trained on paired antibody sequences as well as genetic and biophysical metadata. This is achieved using the Bayesian Flow Network paradigm, which allows unified mo...

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

d23a853c-19ba-585b-87e8-0a9f3f2753dd

DOI

10.1101/2025.04.29.651170