Researchllmantibody designcomputational biologyopen source
Ab-Affinity Predicts Antibody Binding Affinity Accurately
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6.9
Faisal Bin Ashraf and co-authors (arXiv v1, March 4, 2026) introduce Ab-Affinity, a large language model that predicts antibody binding affinity to target peptides such as the SARS-CoV-2 spike protein. The paper reports improved prediction accuracy using extensive experimental antibody data and AI methods, and releases code and model weights in a public repository. The approach supports faster design of neutralizing antibodies.
Scoring Rationale
Open-source, directly usable LLM advances antibody-affinity prediction; limited by single-source arXiv preprint and limited peer validation.
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