Back to search

Article

A Large Language Model Guides the Affinity Maturation of Variant Antibodies Generated by Combinatorial Optimization

2024-12-20

Abstract excerpt

Machine learning-based antibody design and optimization by computational affinity maturation is emerging as a promising approach to combating infectious diseases. This has been possible because of significant advances in artificial intelligence methods and a surge in experimental datasets on antigen-antibody interaction. The ability of an antibody to bind an antigen with sufficient strength (measured by binding a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9ac45c6d-5e46-5ab8-a33c-0e5c0b699b11
DOI
10.1101/2024.12.19.629473
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Large Language Model Guides the Affinity Maturation of Variant Antibodies Generated by Combinatorial OptimizationDOI 10.1101/2024.12.19.629473
Efficient evolution of human antibodies from general protein language models.Semantic proximity
Efficient evolution of human antibodies from general protein language models and sequence information aloneSemantic proximity
Novel antibody language model accelerates IgG screening and design for broad-spectrum antiviral therapySemantic proximity
RESP2: An Uncertainty Aware Multi‐Target Multi‐Property Optimization AI Pipeline for Antibody DiscoverySemantic proximity
Generation of antigen-specific paired chain antibody sequences using large language modelsSemantic proximity
Antibody Affinity Maturation by Computational Design.Semantic proximity
Development and experimental validation of computational methods for human antibody affinity enhancement.Semantic proximity
Inverse folding of protein complexes with a structure-informed language model enables unsupervised antibody evolutionSemantic proximity
A Generative Foundation Model for Antibody DesignSemantic proximity
Fitness Landscape for Antibodies 2: Benchmarking Reveals That Protein AI Models Cannot Yet Consistently Predict Developability PropertiesSemantic proximity
Synthetic coevolution reveals adaptive mutational trajectories of neutralizing antibodies and SARS-CoV-2.Semantic proximity
Affinity maturation of antibody fragments: A review encompassing the development from random approaches to computational rational optimization.Semantic proximity
Select a neighboring publication to make it the new centre.