3Matrix
3Matrix visualizes protein sequence motifs within three-dimensional protein structures to analyze conserved amino acid patterns and their structural context.
Key Features:
- 3D Motif Visualization: Displays protein sequence motifs within three-dimensional protein structures to examine spatial relationships among conserved residues.
- Flexible Query Input: Accepts queries including raw protein sequences, keywords, structural information, and defined sequence motifs for motif-based structural analysis.
- Multiple Motif Format Support: Supports discrete sequence motifs such as PROSITE patterns and eMOTIFs, as well as position-specific scoring matrices including eMATRICES.
- Multiple Sequence Alignment Conversion: Converts blocks from multiple sequence alignments into eMATRICES for structural motif visualization.
- Protein Structure Database Searching: Searches protein structure databases to identify structural matches for user-defined motifs.
- Motif Property Visualization: Represents sequence conservation and solvent-accessible surface area of motif residues using color-shaded structural representations.
Scientific Applications:
- Protein Family Classification: Identifies conserved amino acid residues to group related proteins into families.
- Functional Residue Analysis: Investigates functional and structural roles of conserved residues within protein motifs.
- Structure–Function Studies: Examines how sequence motifs contribute to protein stability, interaction interfaces, and structural architecture.
Methodology:
3Matrix identifies conserved amino acid motifs using sequence alignment and motif construction methods and maps these motifs onto three-dimensional protein structures retrieved from protein structure databases.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Mac
- Added:
- 2/10/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Bennett SP. 3MATRIX and 3MOTIF: a protein structure visualization system for conserved sequence motifs. Nucleic Acids Research. 2003;31(13):3328-3332. doi:10.1093/nar/gkg564. PMID:12824319. PMCID:PMC168971.