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Protein Science
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Article . 2022
License: CC BY
Data sources: PubMed Central
Protein Science
Article . 2022
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Membranome 3.0: Database of single‐pass membrane proteins with AlphaFold models

Authors: Andrei L. Lomize; Kevin A. Schnitzer; Spencer C. Todd; Stanislav Cherepanov; Carlos Outeiral; Charlotte M. Deane; Irina D. Pogozheva;

Membranome 3.0: Database of single‐pass membrane proteins with AlphaFold models

Abstract

AbstractThe Membranome database provides comprehensive structural information on single‐pass (i.e., bitopic) membrane proteins from six evolutionarily distant organisms, including protein–protein interactions, complexes, mutations, experimental structures, and models of transmembrane α‐helical dimers. We present a new version of this database, Membranome 3.0, which was significantly updated by revising the set of 5,758 bitopic proteins and incorporating models generated by AlphaFold 2 in the database. The AlphaFold models were parsed into structural domains located at the different membrane sides, modified to exclude low‐confidence unstructured terminal regions and signal sequences, validated through comparison with available experimental structures, and positioned with respect to membrane boundaries. Membranome 3.0 was re‐developed to facilitate visualization and comparative analysis of multiple 3D structures of proteins that belong to a specified family, complex, biological pathway, or membrane type. New tools for advanced search and analysis of proteins, their interactions, complexes, and mutations were included. The database is freely accessible at https://membranome.org.

Country
United States
Keywords

Protein Conformation, alpha-Helical, Biological Chemistry, full-length protein model, Tools for Protein Science, Health Sciences, Membrane Proteins, web tool, Databases, Protein, network analysis, visualization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 1%
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