MassiveFold data for target T1231

DOI

MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup can be found in MassiveFold_CASP16_Abstract.pdf - README.txt describes the contents of the main MassiveFold.tar.gz file - the main MassiveFold.tar.gz file contains all the predictions, divided into 8 folders named after the conditions. It contains predictions as well as pickle files, sequence alignments, rankings and plots. The README.txt file describes the contents of this tar.gz. - theonly_pdbs_MassiveFold.tar.gzis the result of thegather_runs.pyscript, without the pickle files. It contains a list of all the pdb files and ranking files with scores. -gather_runs.pyallows to gather the runs, to use preferentially to the one included in the mainMassiveFold.tar.gzat the time of the prediction phase, because it has been updated -combined_scores.csv` file contains the CASP assessment for the target (from https://predictioncenter.org/)

MassiveFold, 1.2.3

AlphaFold, 2.3.2

ColabFold, 1.5.5

Identifier
DOI https://doi.org/10.57745/YTNAUL
Related Identifier IsCitedBy https://doi.org/10.1038/s43588-024-00714-4
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/YTNAUL
Provenance
Creator RAOURAOUA, Nessim (ORCID: 0009-0005-5652-684X); LENSINK, Marc F. ORCID logo; BRYSBAERT, Guillaume ORCID logo
Publisher Recherche Data Gouv
Contributor BRYSBAERT, Guillaume; RAOURAOUA, Nessim; Centre national de la recherche scientifique; Université de Lille; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2025
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact BRYSBAERT, Guillaume (UGSF, UMR 8576; CNRS, Université de Lille; France); RAOURAOUA, Nessim (UGSF, UMR 8576; CNRS, Université de Lille; France)
Representation
Resource Type Dataset
Format text/x-python; application/octet-stream; application/pdf; text/plain; text/tab-separated-values; application/gzip
Size 14030; 21782; 309738; 2552; 627301; 891081048; 165962799
Version 1.0
Discipline Life Sciences; Medicine
Spatial Coverage Institut du développement et des ressources en informatique scientifique