How to predict structures with AlphaFold: Difference between revisions

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Eric Martz (talk | contribs)
Eric Martz (talk | contribs)
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5. Scroll down to the section titled ''run alphafold'', subsection ''Sampling options'':
5. Scroll down to the section titled ''run alphafold'', subsection ''Sampling options'':
* '''num_models''', the number of models to be predicted, is 5 by default. You could reduce this to 3 if you are in a hurry.
* '''num_models''', the number of models to be predicted, is 5 by default. You could reduce this to 3 if you are in a hurry.
* '''max_recycles''': Set this to 48 (or at least 12). The actual number of "recycles" performed will stop when the model has converged to the specified tolerance. The default of 3 is often not enough for an optimal result.
* '''max_recycles''': Set this to 48 (or at least 12). The actual number of "recycles" performed will stop when the model has converged to the specified tolerance. The default of 3 recycles is often not enough for an optimal result.
* '''tol''' (tolerance): Set this to 0.5 Å (or 1.0 to get a faster result). When a prediction differs from the previous "recycle" prediction by less than this value (RMSD in Å between alpha carbons), the recycles will stop.
* '''tol''' (tolerance): Set this to 0.5 Å (or 1.0 to get a faster result). When a prediction differs from the previous "recycle" prediction by less than this value (RMSD in Å between alpha carbons), the recycles will stop.
* '''num_samples''' (random seeds): Leave this at 1. Beware that if you increase this above 1, you will generate a number of models equal to the product of this value and num_models. This will proportionally increase the time to complete a result.
* '''num_samples''' (random seeds): Leave this at 1. Beware that if you increase this above 1, you will generate a number of models equal to the product of this value and num_models. This will proportionally increase the time to complete a result.