Galactosemia Proteins Database
Galactosemia Proteins Database provides a curated repository of structural and functional information on variations in the enzymes GALT, GALE, and GALK1 to support analysis of their roles in the Leloir pathway and the molecular basis of galactosemia.
Key Features:
- Structural and functional data: Curated structural and functional information on enzyme variants implicated in galactose metabolism.
- Gene coverage: Includes data for the three primary enzymes encoded by GALT, GALE, and GALK1, which are integral to the Leloir pathway.
- Variant impact annotations: Documents how known genetic variations affect enzyme structure and function.
- Structural data integration: Incorporates new structural data.
- Analysis tools: Provides enhanced analysis tools for investigating the effects of variants.
- Extensive data resources: Aggregates comprehensive data resources relevant to galactosemia research.
Scientific Applications:
- Molecular-basis studies: Supports research into the genetic and biochemical mechanisms underlying different forms of galactosemia.
- Structure–function analysis: Enables analysis of how genetic variants alter enzyme structure and catalytic function within the Leloir pathway.
- Diagnostics and therapeutics: Provides data to inform development of diagnostic and therapeutic strategies for galactosemia.
- Resource modeling: Serves as a model for developing similar protein-variation databases for other human diseases.
Methodology:
Incorporation of new structural data and use of enhanced analysis tools to annotate and assess known variations' effects on enzyme structure and function.
Topics
Collections
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 2/26/2016
- Last Updated:
- 7/17/2019
Operations
Publications
d'Acierno A, Scafuri B, Facchiano A, Marabotti A. The evolution of a Web resource: The Galactosemia Proteins Database 2.0. Human Mutation. 2017;39(1):52-60. doi:10.1002/humu.23346. PMID:28961353.