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Membranome: a database for proteome-wide analysis of single-pass membrane proteins.
Lomize, Andrei L; Lomize, Mikhail A; Krolicki, Shean R; Pogozheva, Irina D.
Affiliation
  • Lomize AL; Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA almz@umich.edu.
  • Lomize MA; St. Anthony Hospital, Oklahoma City, OK 73102, USA.
  • Krolicki SR; Department of Computational Science and Engineering, University of Michigan, Ann Arbor, MI 48109-1065, USA.
  • Pogozheva ID; Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA.
Nucleic Acids Res ; 45(D1): D250-D255, 2017 01 04.
Article in En | MEDLINE | ID: mdl-27510400
ABSTRACT
The Membranome database was developed to assist analysis and computational modeling of single-pass (bitopic) transmembrane (TM) proteins and their complexes by providing structural information about these proteins on a genomic scale. The database currently collects data on >6000 bitopic proteins from Homo sapiens, Arabidopsis thaliana, Dictyostelium discoideum, Saccharomyces cerevisiae, Escherichia coli and Methanocaldococcus jannaschii It presents the following data (i) hierarchical classification of bitopic proteins into 15 functional classes, 689 structural superfamilies and 1404 families; (ii) 446 complexes of bitopic proteins with known three-dimensional (3D) structures classified into 129 families; (iii) computationally generated three-dimensional models of TM α-helices positioned in membranes; (iv) amino acid sequences, domain architecture, functional annotation and available experimental structures of bitopic proteins; (v) TM topology and intracellular localization, (vi) physical interactions between proteins from the database along with links to other resources. The database is freely accessible at http//membranome.org There is a variety of options for browsing, sorting, searching and retrieval of the content, including downloadable coordinate files of TM domains with calculated membrane boundaries.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Proteome / Databases, Protein / Proteomics / Membrane Proteins Language: En Year: 2017 Type: Article

Full text: 1 Database: MEDLINE Main subject: Proteome / Databases, Protein / Proteomics / Membrane Proteins Language: En Year: 2017 Type: Article