Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

PDBTM

General information

URL: http://pdbtm.enzim.hu/
Full name: Protein Data Bank of Transmembrane Proteins
Description: PDBTM is the first comprehensive and up-to-date transmembrane protein selection of the Protein Data Bank (PDB). PDBTM database is maintained at the Institute of Enzymology by the Membrane Protein Bioinformatics Research Group. The PDBTM database was created by scanning all PDB entries with the TMDET algorithm.
Year founded: 2004
Last update: 2017-06-16
Version: v1.0
Accessibility:
Accessible
Country/Region: Hungary

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Institute of Enzymology, Hungarian Academy of Sciences
Address: MTA RCNS, PO Box 7, H-1518 Budapest, Hungary
City: Budapest
Province/State:
Country/Region: Hungary
Contact name (PI/Team): Gábor E. Tusnády
Contact email (PI/Helpdesk): tusnady.gabor@ttk.mta.hu

Publications

23203988
PDBTM: Protein Data Bank of transmembrane proteins after 8 years. [PMID: 23203988]
Kozma D, Simon I, Tusnády GE.

The PDBTM database (available at http://pdbtm.enzim.hu), the first comprehensive and up-to-date transmembrane protein selection of the Protein Data Bank, was launched in 2004. The database was created and has been continuously updated by the TMDET algorithm that is able to distinguish between transmembrane and non-transmembrane proteins using their 3D atomic coordinates only. The TMDET algorithm can locate the spatial positions of transmembrane proteins in lipid bilayer as well. During the last 8 years not only the size of the PDBTM database has been steadily growing from ?400 to 1700 entries but also new structural elements have been identified, in addition to the well-known ?-helical bundle and ?-barrel structures. Numerous 'exotic' transmembrane protein structures have been solved since the first release, which has made it necessary to define these new structural elements, such as membrane loops or interfacial helices in the database. This article reports the new features of the PDBTM database that have been added since its first release, and our current efforts to keep the database up-to-date and easy to use so that it may continue to serve as a fundamental resource for the scientific community.

Nucleic Acids Res. 2013:41(Database issue) | 198 Citations (from Europe PMC, 2025-12-13)
15608195
PDB_TM: selection and membrane localization of transmembrane proteins in the protein data bank. [PMID: 15608195]
Tusnády GE, Dosztányi Z, Simon I.

PDB_TM is a database for transmembrane proteins with known structures. It aims to collect all transmembrane proteins that are deposited in the protein structure database (PDB) and to determine their membrane-spanning regions. These assignments are based on the TMDET algorithm, which uses only structural information to locate the most likely position of the lipid bilayer and to distinguish between transmembrane and globular proteins. This algorithm was applied to all PDB entries and the results were collected in the PDB_TM database. By using TMDET algorithm, the PDB_TM database can be automatically updated every week, keeping it synchronized with the latest PDB updates. The PDB_TM database is available at http://www.enzim.hu/PDB_TM.

Nucleic Acids Res. 2005:33(Database issue) | 200 Citations (from Europe PMC, 2025-12-13)
15180935
Transmembrane proteins in the Protein Data Bank: identification and classification. [PMID: 15180935]
Tusnády GE, Dosztányi Z, Simon I.

Integral membrane proteins play important roles in living cells. Although these proteins are estimated to constitute 25% of proteins at a genomic scale, the Protein Data Bank (PDB) contains only a few hundred membrane proteins due to the difficulties with experimental techniques. The presence of transmembrane proteins in the structure data bank, however, is quite invisible, as the annotation of these entries is rather poor. Even if a protein is identified as a transmembrane one, the possible location of the lipid bilayer is not indicated in the PDB because these proteins are crystallized without their natural lipid bilayer, and currently no method is publicly available to detect the possible membrane plane using the atomic coordinates of membrane proteins. Here, we present a new geometrical approach to distinguish between transmembrane and globular proteins using structural information only and to locate the most likely position of the lipid bilayer. An automated algorithm (TMDET) is given to determine the membrane planes relative to the position of atomic coordinates, together with a discrimination function which is able to separate transmembrane and globular proteins even in cases of low resolution or incomplete structures such as fragments or parts of large multi chain complexes. This method can be used for the proper annotation of protein structures containing transmembrane segments and paves the way to an up-to-date database containing the structure of all known transmembrane proteins and fragments (PDB_TM) which can be automatically updated. The algorithm is equally important for the purpose of constructing databases purely of globular proteins.

Bioinformatics. 2004:20(17) | 174 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
604/6895 (91.255%)
Structure:
65/967 (93.382%)
604
Total Rank
554
Citations
26.381
z-index

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Record metadata

Created on: 2015-06-20
Curated by:
Lina Ma [2019-06-10]
huma shireen [2018-12-26]
Lina Ma [2018-06-05]
Shixiang Sun [2016-03-24]
Shixiang Sun [2015-11-20]
Shixiang Sun [2015-06-28]
Shixiang Sun [2015-06-26]