SEQATOMS: a web tool for identifying missing regions in PDB in sequence context

B.W. Brandt, J. Heringa, J.A.M. Leunissen

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)

Abstract

With over 46 000 proteins, the Protein Data Bank (PDB) is the most important database with structural information of biological macromolecules. PDB files contain sequence and coordinate information. Residues present in the sequence can be absent from the coordinate section, which means their position in space is unknown. Similarity searches are routinely carried out against sequences taken from PDB SEQRES. However, there no distinction is made between residues that have a known or unknown position in the 3D protein structure. We present a FASTA sequence database that is produced by combining the sequence and coordinate information. All residues absent from the PDB coordinate section are masked with lower-case letters, thereby providing a view of these residues in the context of the entire protein sequence, which facilitates inspecting `missing¿ regions. We also provide a masked version of the CATH domain database. A user-friendly BLAST interface is available for similarity searching. In contrast to standard (stand-alone) BLAST output, which only contains upper-case letters, our output retains the lower-case letters of the masked regions. Thus, our server can be used to perform BLAST searching case-sensitively. Here, we have applied it to the study of missing regions in their sequence context
Original languageEnglish
Pages (from-to)W255-W259
JournalNucleic acids research
Volume36
Issue number2
DOIs
Publication statusPublished - 2008

Keywords

  • protein data-bank
  • intrinsic disorder
  • database
  • prediction
  • archive

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