Information Panel for job 67a723ec26ba6072e70a6d68

Service: ParaSurf

Status: completed

Runtime: 2m

Note:

Visuals

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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.


AI models produce responses and outputs through sophisticated algorithms and learning techniques, which may result in inaccuracies. By engaging with this model, you accept responsibility for any potential harm resulting from its responses or outputs.

Config

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Files

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Input Files

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Output Files

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Citations

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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.

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

Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/

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