UniProt archive

206 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

UniProt: the universal protein knowledgebase (2016, methodology): “Finally we provide the UniProt Archive (Uni-Parc) that provides a complete set of known sequences, including historical obsolete sequences (3).”
ProGen: Language Modeling for Protein Generation (2020, methodology): “We utilize all protein sequences and associated tags available in Uniparc (Leinonen et al., 2004), Unipro-tKB (Bairoch et al., 2005), SWISS-PROT (Bairoch et al., 2004), TrEMBL (Boeckmann et al., 2003), Pfam (Bate-man et al., 2004), and NCBI taxonomic information (Feder-hen, 2012).”
UniRef: comprehensive and non-redundant UniProt reference clusters (2007, positive): “Growth of UniRef databases in relationship to the UniProtKB and UniParc source databases.”
Single-sequence protein structure prediction using language models and deep learning (2022, methodology): “To generate the AminoBERT language model, we trained a 12-layer transformer using ~250 million natural protein sequences obtained from the UniParc sequence database 31 .”
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs) (2006, unknown): “New potential β -helix proteins were identiﬁed from the UniProt reference databases (UniRef) (a combination of Swiss-Prot Release 44.2 of 30 July 2004 and TrEMBL 27.2 of 30 July 2004) (Leinonen et al. , 2004).”