Visuals
Explore the job’s output with interactive plots, charts, and other visualization tools.
Metrics & Scores
Predictions are ranked by DiffDock's scoring function and ordered from best to worst prediction. Use the View button to display a prediction in the protein viewer.
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
View the configuration and settings that were used to produce this job.
| Configuration Setting | Set Value |
|---|
Files
Access the input and generated output files associated with this job.
Input Files
Download all as a zip file:
Output Files
Download all as a zip file:
Citations
Reference these works when publishing findings derived from this job.
|
LightDock: a new multi-scale approach to protein–protein docking Brian Jiménez-García, Jorge Roel-Touris, Miguel Romero-Durana, Miquel Vidal, Daniel Jiménez-González and Juan Fernández-Recio Bioinformatics, Volume 34, Issue 1, 1 January 2018, Pages 49–55, https://doi.org/10.1093/bioinformatics/btx555 |
|
LightDock goes information-driven Jorge Roel-Touris, Alexandre M.J.J. Bonvin, Brian Jiménez-García Bioinformatics, btz642; doi: https://doi.org/10.1093/bioinformatics/btz642 |
|
Integrative Modeling of Membrane-associated Protein Assemblies Jorge Roel-Touris, Brian Jiménez-García & Alexandre M.J.J. Bonvin Nat Commun 11, 6210 (2020); doi: https://doi.org/10.1038/s41467-020-20076-5 |
|
Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |