3dLOGO
3dLOGO identifies conserved three-dimensional protein substructures and derives structural motifs by analyzing residue sets from Protein Data Bank (PDB) structures across multiple protein structures.
Key Features:
- Conserved Substructure Detection: Identifies matching three-dimensional substructures in a user-provided set of protein structures based on residue sets from a PDB chain.
- Multiple Structure Alignment: Generates a multiple structural alignment centered on detected conserved substructures to reveal additional structurally conserved residues after superposition.
- 3D Structural Logo Representation: Uses the 3dProLogo application to represent residue structural conservation as a three-dimensional sequence logo.
- Structural Motif and Pattern Derivation: Proposes conserved residues to identify functional regions, refine structural motifs, and derive sequence patterns.
Scientific Applications:
- Protein Family Structural Analysis: Identifies conserved structural features in protein families such as SH2 and SH3 binding pockets and p-loop motifs.
- Pattern Database Optimization: Improves sensitivity and specificity of motif databases such as PROSITE by identifying structurally conserved residues not detected by sequence alignment.
- Local Structural Comparison: Supports local comparisons of protein structures to identify shared structural features associated with common biological functions.
Methodology:
3dLOGO detects structurally conserved residues from input PDB residue sets across multiple protein structures, generates structure-centered alignments, and constructs extended sequence patterns optimized for sensitivity and specificity against databases such as SWISS-PROT.
Topics
Collections
Details
- Tool Type:
- web application
- Added:
- 2/14/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Protein identification
Outputs
Publications
Via A, Peluso D, Gherardini PF, de Rinaldis E, Colombo T, Ausiello G, Helmer-Citterich M. 3dLOGO: a web server for the identification, analysis and use of conserved protein substructures. Nucleic Acids Research. 2007;35(Web Server):W416-W419. doi:10.1093/nar/gkm228. PMID:17488847. PMCID:PMC1933223.
de Rinaldis M, Ausiello G, Cesareni G, Helmer-Citterich M. Three-dimensional profiles: a new tool to identify protein surface similarities. Journal of Molecular Biology. 1998;284(4):1211-1221. doi:10.1006/jmbi.1998.2248. PMID:9837739.
Via A, Helmer-Citterich M. A structural study for the optimisation of functional motifs encoded in protein sequences. BMC Bioinformatics. 2004;5(1). doi:10.1186/1471-2105-5-50. PMID:15119965. PMCID:PMC420233.
Ausiello G, Via A, Helmer-Citterich M. Query3d: a new method for high-throughput analysis of functional residues in protein structures. BMC Bioinformatics. 2005;6(S4). doi:10.1186/1471-2105-6-s4-s5. PMID:16351754. PMCID:PMC1866380.