Visuals
Explore the job’s output with interactive plots, charts, and other visualization tools.
Predicted Binding Site Residue
This table shows the binding site predictions at the residue level. Scores range from 0 to 1, where scores above 0.5 indicate binding sites. The graph below visualizes these scores across all residues.
Predicted Binding Site Atoms
This table presents atomic-level binding site predictions, offering finer granularity than residue-level analysis. Each atom's score (0 to 1) indicates its likelihood of participating in binding interactions. Scores above 0.5 suggest the atom is part of the binding site. The graph below helps visualize hotspots of binding activity at the atomic level.
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Config
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Files
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Input Files
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Output Files
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Citations
Reference these works when publishing findings derived from this job.
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Angelos-Michael Papadopoulos, Apostolos Axenopoulos, Anastasia Iatrou, Kostas Stamatopoulos, Federico Alvarez, Petros Daras, ParaSurf: A Surface-Based Deep Learning Approach for Paratope-Antigen Interaction Prediction, Bioinformatics, 2025;, btaf062, https://doi.org/10.1093/bioinformatics/btaf062. |
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Todd J. Dolinsky, Jens E. Nielsen, J. Andrew McCammon, Nathan A. Baker, PDB2PQR: an automated pipeline for the setup of Poisson–Boltzmann electrostatics calculations, Nucleic Acids Research, Volume 32, Issue suppl_2, 1 July 2004, Pages W665–W667, https://doi.org/10.1093/nar/gkh381 |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |