Information Panel for job 631f9acb4d9072489deaeeae

Service: AlphaFold2

Status: completed

Runtime: 31m

Data & Visualizations

Various data visualizations for this jobs output data.

Model Confidence

Very high (pLDDT > 90)

High (90 > pLDDT > 70)

Low (70 > pLDDT > 50)

Very low (pLDDT < 50)




Additional Controls

AlphaFold2 predicts 5 different structures using different weights and ranks them from best to worst by their mean pLDDT for monomers or 80*iptm + 20*ptm for multimers. The Uncertainty metric ranges between 0 and 100 where 0 means high certainty and 100 means high uncertainty (lower is better). This AlphaFold2 implementation uses ColabFold as it is faster and more accurate.

Predicted Metrics

Model Rank Mean pLDDT Max PAE pTM ipTM pDockQ Uncertainty Overall Quality

Important Metrics

These plots provide additional confidence metrics that can be used to better assess the predicted structures. For more details as well as tips and tricks we highly recommend checking out our blog post on interpreting AlphaFold2 results.

predicted Local Distance Difference Test (pLDDT)

MSA Sequence Coverage

Predicted Aligned Error (PAE)

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.