EncoMPASS: an online database for analyzing structure and symmetry in membrane proteins

Area of Science:

• Structural Biology
• Bioinformatics
• Membrane Protein Research

Background:

• Membrane proteins play crucial roles in cellular functions.
• Understanding their structure is key to deciphering their mechanisms.
• Existing databases may not fully capture the complexities of membrane protein structures and symmetries.

Purpose of the Study:

• To present a comprehensive resource for membrane proteins with known structures.
• To emphasize structural similarities, quaternary, and internal symmetries.
• To provide tools for analysis and functional inference.

Main Methods:

• Development of the EncoMPASS online database.
• Organization of data around protein chains and homologous relationships.
• Inclusion of detailed symmetry information, including orientation relative to the membrane.

Main Results:

• EncoMPASS provides a protein chain-centric network of sequence and structural homologues.
• The database details quaternary and internal symmetries of membrane proteins.
• Tools are available for structural feature comparison, aiding homology modeling and active site identification.

Conclusions:

• EncoMPASS serves as a valuable resource for studying membrane protein structure and function.
• The database facilitates understanding symmetry-related mechanisms in membrane proteins.
• It supports research in homology modeling, active site identification, and functional inference.