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Protein structures predicted using DMPfold2

posted on 22.07.2021, 11:00 authored by Shaun KandathilShaun Kandathil, Andy LauAndy Lau, Joe Greener, David JonesDavid Jones
This dataset comprises predicted protein structures from the paper "Fast end-to-end protein structure prediction enables high-throughput exploration of uncharacterised proteins". Structures were predicted using DMPfold2.

BFD_1.3M.hdf5 contains all the models from the set of 1.3M that were generated. The models can be retrieved from this file using the provided hdf5_extract.py script and the list of IDs in bfdfold_1.3M_target_ids.csv.

Also provided are tarballs of the models and sequence alignments for the 5193 Pfam families modelled in the paper, as well as for the set of 255 Pfams with released structures used for comparisons against DMPfold1 and C-I-TASSER.


Exploring new applications of amino acid covariation analysis in modelling proteins and their complexes

European Research Council

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