De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model

H He, B He, L Guan, Y Zhao, F Jiang, G Chen… - Nature …, 2024 - nature.com
Artificial Intelligence (AI) techniques have made great advances in assisting antibody
design. However, antibody design still heavily relies on isolating antigen-specific antibodies …

Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning

TJ O'Donnell, C Kanduri, G Isacchini, JP Limenitakis… - Cell Systems, 2024 - cell.com
The adaptive immune system holds invaluable information on past and present immune
responses in the form of B and T cell receptor sequences, but we are limited in our ability to …

Multi-modal clip-informed protein editing

M Yin, H Zhou, Y Zhu, M Lin, Y Wu, J Wu, H Xu… - Health Data …, 2024 - spj.science.org
Background: Proteins govern most biological functions essential for life, and achieving
controllable protein editing has made great advances in probing natural systems, creating …

[CITATION][C] On Interpretable Deep Learning and Protein Lan-guage Models for Rational Antibody Design

A Pelissier, MR Martinez