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ChanFAD: A Functional Annotation Database for Ion Channels

Authors :
Elizabeth V. Castro
John W. Shepherd
Ryan S. Guggenheim
Manimone Sengvoravong
Bailey C. Hall
McKenzie K. Chappell
Jessica A. Hearn
Olivia N. Caraccio
Cora Bissman
Sydney Lantow
Damian Buehner
Harry R. Costlow
David M. Prather
Abigail M. Zonza
Mallory Witt
Jeffrey A. Zahratka
Source :
Frontiers in Bioinformatics, Vol 2 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

Ion channels are integral membrane protein complexes critical for regulation of membrane potential, cell volume, and other signaling events. As complex molecular assemblies with many interacting partners, ion channels have multiple structural and functional domains. While channel sequence and functional data are readily available across multiple online resources, there is an unmet need for functional annotation directly relating primary sequence information, 2D interactions, and three-dimensional protein structure. To this end, we present ChanFAD (Channel Functional Annotation Database), to provide the research community with a centralized resource for ion channel structure and functional data. ChanFAD provides functional annotation of PDB structures built on the National Center for Biotechnology Information’s iCn3D structure viewing tool while providing additional information such as primary sequence, organism, and relevant links to other databases. Here we provide a brief tour of ChanFAD functionality while showing example use cases involving drug-channel interactions and structural changes based on mutation. ChanFAD is freely available and can be accessed at https://www.chanfad.org/.

Details

Language :
English
ISSN :
26737647
Volume :
2
Database :
Directory of Open Access Journals
Journal :
Frontiers in Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.5bc9a44b001049f9b61703c75d62e4f4
Document Type :
article
Full Text :
https://doi.org/10.3389/fbinf.2022.835805