Summary of A Sars-cov-2 Interaction Dataset and Vhh Sequence Corpus For Antibody Language Models, by Hirofumi Tsuruta et al.
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
by Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Akihiro Imura
First submitted to arxiv on: 29 May 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Genomics (q-bio.GN)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper introduces AVIDa-SARS-CoV-2, a dataset featuring the interactions between antibody sequences and SARS-CoV-2 spike proteins. The dataset includes binary labels indicating binding or non-binding of diverse VHH sequences to 12 SARS-CoV-2 mutants, such as the Delta and Omicron variants. Additionally, the paper releases VHHCorpus-2M, a pre-training dataset for antibody language models containing over two million VHH sequences. Benchmark results are reported for predicting SARS-CoV-2-VHH binding using various pre-trained language models, confirming the value of AVIDa-SARS-CoV-2 as a benchmark for evaluating representation capabilities of antibody language models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Antibodies help fight off germs and can be used to treat diseases. Scientists want to develop new ways to find these antibodies quickly. To do this, they’re using computer programs that learn from large collections of data. This paper introduces two special datasets: AVIDa-SARS-CoV-2, which shows how different antibody sequences interact with the SARS-CoV-2 virus, and VHHCorpus-2M, a huge collection of over two million antibody sequences. The researchers tested these datasets using computer programs designed to predict whether an antibody sequence will bind to the virus. This work can help scientists develop new ways to find antibodies that can treat diseases like COVID-19. |
