Fig. 1: Computing processes handled automatically by MassiveFold.
From: MassiveFold: unveiling AlphaFold’s hidden potential with optimized and parallelized massive sampling
The provided inputs are the FASTA sequence(s) and parameter options for AFmassive or ColabFold. MassiveFold then runs the alignments on a CPU, producing multiple sequence alignments (MSAs) and divides the structure predictions for massive sampling in batches to be run on GPUs. After completion, MassiveFold automatically gathers all predictions, ranks them following the AlphaFold ranking confidence score, the predicted template modeling score (pTM) and interface predicted template modeling score (ipTM), and generates plots.
