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UniProtKB/Swiss-Prot is a manually annotated, non-redundant protein sequence database. It combines information extracted from scientific literature and biocurator-evaluated computational analysis. The aim of UniProtKB/Swiss-Prot is to provide all known relevant information about a particular protein.
Protein database maintains the text record for individual protein sequences, derived from many different resources such as NCBI Reference Sequence (RefSeq) project, GenBank, PDB, and UniProtKB/SWISS-Prot. Protein records are present in different formats including FASTA and XML and are linked to other NCBI resources. Protein provides the ...
Currently, the gap between known protein sequences and confirmed protein structures is immense. At the beginning of 2008, only about 1% of the sequences listed in the UniProtKB database corresponded to structures in the Protein Data Bank (PDB), leaving a gap between sequence and structure of approximately five million. [4]
database of protein similarities computed using FASTA: Protein model databases Swiss-model: server and repository for protein structure models Protein model databases AAindex: database of amino acid indices, amino acid mutation matrices, and pair-wise contact potentials Protein model databases BioGRID: Samuel Lunenfeld Research Institute
The institute was originally created to provide a framework for stable long-term funding for both the Swiss-Prot database and the Swiss EMBnet node. Swiss-Prot in particular went through a major funding crisis in 1996, [1] which led the leaders of the five research groups active in bioinformatics in Geneva and Lausanne, Ron Appel, Amos Bairoch, Philipp Bucher, Victor Jongeneel and Manuel ...
Liquid-liquid phase separation (LLPS) is well defined in the Biomolecular condensate page.. LLPS databases cover different aspects of LLPS phenomena, ranging from cellular location of the Membraneless Organelles (MLOs) to the role of a particular protein/region forming the condensate state.
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The UniProt database is an example of a protein sequence database. As of 2013 it contained over 40 million sequences and is growing at an exponential rate. [ 1 ] Historically, sequences were published in paper form, but as the number of sequences grew, this storage method became unsustainable.