ParaSurf: a surface-based deep learning approach for paratope-antigen interaction prediction.

Journal: Bioinformatics (Oxford, England)
PMID: 39921885

Abstract

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 the development by improving our understanding of antibody-antigen interactions.

Authors

  • Angelos-Michael Papadopoulos
    Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki 57001, Greece.
  • Apostolos Axenopoulos
    Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki 57001, Greece.
  • Anastasia Iatrou
    Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki 57001, Greece.
  • Kostas Stamatopoulos
    Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece.
  • Federico Alvarez
    Universidad Politécnica de Madrid, Madrid, Spain.
  • Petros Daras
    The Visual Computing Lab, Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Central Macedonia, Greece.

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