D3DistalMutation
D3DistalMutation catalogs distal mutations (>10 Å from enzyme active sites) by mapping them onto three-dimensional (3D) structures and linking them to measured changes in enzyme activity.
Key Features:
- Systematic Collection: Compiles 3D structural data documenting distal mutation sites (mutations >10 Å from active sites) and their associated activity changes.
- Activity Classification: Categorizes mutation effects into four classes: no change in activity, decreased activity, loss of activity, and increased activity.
- Quantitative Insights: Reports that approximately 80% of distal mutations influence enzyme activity, with 72.7% causing decreased or lost activity and 6.6% causing increased activity.
- Potential Industrial Applications: Identifies specific substitutions (for example, Y to F, S to D, and T to D) associated with activity enhancement relevant to industrial catalysis.
- Allosteric Drug Design: Details instances where distal mutations in allosteric pockets decrease enzyme activity, informing allosteric modulation strategies.
- Structural Exploration: Maps structural pockets within enzymes to enable investigation of regulatory mechanisms mediated by distal mutations.
Scientific Applications:
- Enzyme Regulation Studies: Facilitates analysis of how distant amino-acid changes affect enzyme function and regulation.
- Drug Design and Development: Supports allosteric drug design by linking distal mutation sites and activity decreases in allosteric pockets.
- Industrial Biotechnology: Informs engineering of enzymes for industrial applications by identifying mutations that enhance activity.
Methodology:
Integrates 3D structural data with annotations of mutation residues, active-site proximity (>10 Å), and descriptions of activity changes, classifies effects into four activity categories, and computes frequency statistics for each category.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- Python, Shell, PyMOL
- Added:
- 6/14/2021
- Last Updated:
- 8/24/2021
Operations
Publications
Wang X, Zhang X, Peng C, Shi Y, Li H, Xu Z, Zhu W. D3DistalMutation: a Database to Explore the Effect of Distal Mutations on Enzyme Activity. Journal of Chemical Information and Modeling. 2021;61(5):2499-2508. doi:10.1021/acs.jcim.1c00318. PMID:33938221.
PMID: 33938221
Funding: - Ministry of Science and Technology of the People's Republic of China: 2016YFA0502301, 2016YFA0502800
- National Natural Science Foundation of China: 31870717