UniTmp: unified resources for transmembrane proteins.

Area of Science:

• Biochemistry
• Structural Biology
• Bioinformatics

Background:

• Transmembrane proteins play crucial roles in cellular functions.
• Accessing integrated structural and topological data for these proteins is challenging.
• Existing databases like TOPDB, TOPDOM, PDBTM, and HTP are disparate.

Purpose of the Study:

• To create a unified, comprehensive, and accessible resource for transmembrane protein structural information.
• To merge and provide interoperability between existing transmembrane protein databases.
• To develop an efficient system for serving updated structural and topological data.

Main Methods:

• Integration of data from TOPDB, TOPDOM, PDBTM, and HTP databases.
• Development of a novel system for parallel data serving.
• Annotation of tens of thousands of new structures and experiments.
• Regular updates and maintenance of the unified database.

Main Results:

• The UniTmp database now includes 9235 membrane-embedded structures.
• It contains 9088 sequences with 536,035 topology-annotated segments.
• The resource also features 8692 conservatively localized protein domains/motifs and 5466 annotated human transmembrane proteins.
• A unified platform with interoperability and easy updates has been established.

Conclusions:

• UniTmp provides a centralized and comprehensive resource for transmembrane protein structural data.
• The unified platform enhances accessibility and usability for researchers.
• The database facilitates further research into transmembrane protein structure, function, and topology.