• Media type: E-Article
  • Title: ChannelsDB 2.0: a comprehensive database of protein tunnels and pores in AlphaFold era
  • Contributor: Špačková, Anna; Vávra, Ondřej; Raček, Tomáš; Bazgier, Václav; Sehnal, David; Damborský, Jiří; Svobodová, Radka; Bednář, David; Berka, Karel
  • imprint: Oxford University Press (OUP), 2024
  • Published in: Nucleic Acids Research
  • Language: English
  • DOI: 10.1093/nar/gkad1012
  • ISSN: 0305-1048; 1362-4962
  • Keywords: Genetics
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title> <jats:p>ChannelsDB 2.0 is an updated database providing structural information about the position, geometry and physicochemical properties of protein channels—tunnels and pores—within deposited biomacromolecular structures from PDB and AlphaFoldDB databases. The newly deposited information originated from several sources. Firstly, we included data calculated using a popular CAVER tool to complement the data obtained using original MOLE tool for detection and analysis of protein tunnels and pores. Secondly, we added tunnels starting from cofactors within the AlphaFill database to enlarge the scope of the database to protein models based on Uniprot. This has enlarged available channel annotations ∼4.6 times as of 1 September 2023. The database stores information about geometrical features, e.g. length and radius, and physico-chemical properties based on channel-lining amino acids. The stored data are interlinked with the available UniProt mutation annotation data. ChannelsDB 2.0 provides an excellent resource for deep analysis of the role of biomacromolecular tunnels and pores. The database is available free of charge: https://channelsdb2.biodata.ceitec.cz.</jats:p>
  • Access State: Open Access