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PeSTo-Carbs: Geometric Deep Learning for Prediction of Protein–Carbohydrate Binding Interfaces

  • Published:2024-04-11 Issue:8 Volume:20 Page:2985-2991
  • ISSN:1549-9618
  • Container-title:Journal of Chemical Theory and Computation
  • language:en
  • Short-container-title:J. Chem. Theory Comput.

Author:

Bibekar Parth12ORCID,Krapp Lucien23,Peraro Matteo Dal23ORCID

Affiliation:

1. Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur 741246, India

2. Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland

3. Swiss Institute of Bioinformatics (SIB), Lausanne 1015, Switzerland

Funder

Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung

Publisher

American Chemical Society (ACS)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computational toolbox for the analysis of protein–glycan interactions;Beilstein Journal of Organic Chemistry;2024-08-22

2. Context-aware geometric deep learning for protein sequence design;Nature Communications;2024-07-25

3. Deep Learning Methods for Binding Site Prediction in Protein Structures;Biochemistry (Moscow), Supplement Series B: Biomedical Chemistry;2024-06
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