Akihiro Imura — accepted AI-conference papers

2024

A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models

Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Akihiro Imura

NeurIPS 2024poster

Antibodies are crucial proteins produced by the immune system to eliminate harmful foreign substances and have become pivotal therapeutic agents for treating human diseases. To accelerate the discovery of antibody therapeutics, there is growing interest in constructing language models using antibody…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2023

AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions

Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer N. Wei, Zelda E Mariet +5

NeurIPS 2023poster

Antibodies have become an important class of therapeutic agents to treat human diseases. To accelerate therapeutic antibody discovery, computational methods, especially machine learning, have attracted considerable interest for predicting specific interactions between antibody candidates and target…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗