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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
The Thiamine diphosphate dependent Enzyme Engineering Database: a tool for the systematic analysis of sequence and
Michael Widmann1, Robert Radloff, Jürgen Pleiss
1Institute of Technical Biochemistry, University of Stuttgart, Allmandring 31, Stuttgart, Germany.
BMC Biochemistry
|February 4, 2010
Summary
The Thiamine diphosphate (ThDP)-dependent Enzyme Engineering Database (TEED) provides a comprehensive resource for studying diverse ThDP-dependent enzymes. It facilitates analysis of protein sequences, structures, and human enzyme variations linked to diseases.
Area of Science:
- Biochemistry
- Structural Biology
- Enzymology
Background:
- Thiamine diphosphate (ThDP)-dependent enzymes catalyze crucial reactions involving various bond formations and cleavages.
- These enzymes, despite sequence diversity, share conserved pyrophosphate (PP) and pyrimidine (PYR) domains.
- The Thiamine diphosphate (ThDP)-dependent Enzyme Engineering Database (TEED) was developed for systematic comparison of these enzymes.
Purpose of the Study:
- To establish a comprehensive database (TEED) for ThDP-dependent enzymes.
- To enable systematic analysis and comparison of protein sequences and structures.
- To provide a tool for investigating human ThDP-dependent enzymes and their associated genetic variations.
Main Methods:
- Curated a database (TEED) with over 12,000 sequence and 300 structure entries.
- Classified proteins into 8 superfamilies and 63 homologous families.
- Annotated conserved PP and PYR domains for similarity analysis and developed family-specific HMM profiles.
Main Results:
- The TEED database encompasses 12,048 sequence entries and 379 structure entries.
- Proteins are organized into 8 superfamilies and 63 homologous families, with associated alignments and phylogenetic trees.
- Identified 20 human ThDP-dependent proteins and over 40 single nucleotide polymorphisms (SNPs) linked to diseases.
Conclusions:
- The TEED database serves as a valuable navigation and analysis tool for the extensive family of ThDP-dependent enzymes.
- Facilitates research into enzyme function, evolution, and disease associations.
- Supports comparative analysis of protein sequences and structures through annotated domains and family classifications.

