Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database Profile

General information

Full name: Annotated Database of Disease-RElated Sequences and Structures
Description: A database of disease-associated human variants incorporating protein structure and folding stabilities.
Year founded: 2020
Last update:
Real time : Checking...
Country/Region: United States
Data type:
Data object:
Database category:
Major organism:

Contact information

University/Institution: University of Michigan
Address: Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Province/State: Michigan
Country/Region: United States
Contact name (PI/Team):
Contact email (PI/Helpdesk):


ADDRESS: A database of disease-associated human variants incorporating protein structure and folding stabilities. [PMID: 33539887]
Jaie Woodard, Chengxin Zhang, Yang Zhang

Numerous human diseases are caused by mutations in genomic sequences. Since amino acid changes affect protein function through mechanisms often predictable from protein structure, the integration of structural and sequence data enables us to estimate with greater accuracy whether and how a given mutation will lead to disease. Publicly available annotated databases enable hypothesis assessment and benchmarking of prediction tools. However, the results are often presented as summary statistics or black box predictors, without providing full descriptive information. We developed a new semi-manually curated human variant database presenting information on the protein contact-map, sequence-to-structure mapping, amino acid identity change, and stability prediction for the popular UniProt database. We found that the profiles of pathogenic and benign missense polymorphisms can be effectively deduced using decision trees and comparative analyses based on the presented dataset. The database is made publicly available through

J Mol Biol. 2021:() | 0 Citations (from Europe PMC, 2021-02-27)



Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Record metadata

Created on: 2021-02-18
Curated by:
lin liu [2021-02-19]
Dong Zou [2021-02-18]