Pre-training with a rational approach for antibody sequence representation

The antibody latent representation provided by PARA can substantially facilitate studies in relevant areas. We believe that PARA's superior performance in capturing antibody sequence information offers significant potential for both antibody property prediction and the development of novel therapeutics. PARA is available at https://github.com/xtalpi-xic.

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Publication Details

Journal
Frontiers in Immunology
Published
2024-10-23
DOI
https://doi.org/10.3389/fimmu.2024.1468599
Citations
4
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.94
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article

Pre-training with a rational approach for antibody sequence representation

Lipeng Lai, Xiangrui Gao, Changling Cao, Chenfeng He
4 citations
Frontiers in Immunology
vaccines and immunoinformatics approaches
0.94
article

Pre-training with a rational approach for antibody sequence representation

Lipeng Lai, Xiangrui Gao, Changling Cao, Chenfeng He
article en
4 citations

Abstract

The antibody latent representation provided by PARA can substantially facilitate studies in relevant areas. We believe that PARA's superior performance in capturing antibody sequence information offers significant potential for both antibody property prediction and the development of novel therapeutics. PARA is available at https://github.com/xtalpi-xic.

Frontiers in ImmunologyVol. 15
Beijing Institute of Technology (CN)
Quality Education
Openalex Percentile: Top 25%
vaccines and immunoinformatics approaches
0.94
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