Antibody-antigen binding prediction
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Benchmarks
Most implemented
ParaSurf: A Surface-Based Deep Learning Approach for Paratope-Antigen Interaction Prediction
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
PeSTo: parameter-free geometric deep learning for accurate prediction of protein binding interfaces
Paragraph—antibody paratope prediction using graph neural networks with minimal feature vectors
Papers
ParaSurf: A Surface-Based Deep Learning Approach for Paratope-Antigen Interaction Prediction
Motivation Identifying antibody binding sites, is crucial for developing vaccines and therapeutic antibodies, processes that are time-consuming and costly. Accurate prediction of the paratope’s binding site can speed up…
Antibody-antigen binding predictionImproving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation
Accurately predicting antibody-antigen binding residues, i.e., paratopes and epitopes, is crucial in antibody design. However, existing methods solely focus on uni-modal data (either sequence or structure), disregarding …
Antibody-antigen binding predictionContrastive LearningInformativenessPeSTo: parameter-free geometric deep learning for accurate prediction of protein binding interfaces
Proteins are essential molecular building blocks of life, responsible for most biological functions as a result of their specific molecular interactions. However, predicting their binding interfaces remains a challenge…
Antibody-antigen binding predictionParagraph—antibody paratope prediction using graph neural networks with minimal feature vectors
Summary: The development of new vaccines and antibody therapeutics typically takes several years and requires over $1bn in investment. Accurate knowledge of the paratope (antibody binding site) can speed up and reduce th…
Antibody-antigen binding predictionDeep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant
The COVID-19 pandemic has been ongoing for nearly two and half years, and new variants of concern (VOCs) of SARS-CoV-2 continue to emerge, which urges the development of broadly neutralizing antibodies. Variants such as …
Antibody-antigen binding predictionDeep LearningProtein Function PredictionA large-scale systematic survey reveals recurring molecular features of public antibody responses to SARS-CoV-2
Global research to combat the COVID-19 pandemic has led to the isolation and characterization of thousands of human antibodies to the SARS-CoV-2 spike protein, providing an unprecedented opportunity to study the antibody…
Antibody-antigen binding prediction