Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://vit.ac.in/ttrmdb
Full name: Transthyretin mutant database
Description: TTRMDB provides a full report encompassing the effects of every reported mutant model of TTR protein about the stability, functionality and pathogenicity using various computational tools.
Year founded: 2020
Last update: 2020-05-25
Version:
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: India

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Vellore Institute of Technology
Address: Bioinformatics Lab, Department of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology (Deemed to be University), Vellore 632014, Tamil Nadu, India
City: Vellore
Province/State: Tamil Nadu
Country/Region: India
Contact name (PI/Team): R. Rajasekaran
Contact email (PI/Helpdesk): rrajasekaran@vit.ac.in

Publications

32512488
TTRMDB: A database for structural and functional analysis on the impact of SNPs over transthyretin (TTR) using bioinformatic tools. [PMID: 32512488]
E Srinivasan, Nandhini Natarajan, R Rajasekaran

Hereditary Transthyretin-associated amyloidosis (ATTR) is an autosomal dominant protein-folding disorder with adult-onset caused by mutation of transthyretin (TTR). TTR is characterized by extracellular deposition of amyloid, leading to loss of autonomy and finally, death. More than 100 distinct mutations in TTR gene have been reported from variable age of onset, clinical expression and penetrance data. Besides, the cure for the disease remains still obscure. Further, the prioritizing of mutations concerning the characteristic features governing the stability and pathogenicity of TTR mutant proteins remains unanswered, to date and thus, a complex state of study for researchers. Herein, we provide a full report encompassing the effects of every reported mutant model of TTR protein about the stability, functionality and pathogenicity using various computational tools. In addition, the results obtained from our study were used to create TTRMDB (Transthyretin mutant database), which could be easy access to researchers at http://vit.ac.in/ttrmdb.

Comput Biol Chem. 2020:87() | 3 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
4704/6000 (21.617%)
Genotype phenotype and variation:
655/852 (23.239%)
Structure:
639/841 (24.138%)
Health and medicine:
1074/1394 (23.027%)
4704
Total Rank
3
Citations
0.75
z-index

Community reviews

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

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2020-11-11
Curated by:
Lin Liu [2021-02-19]
Zhao Li [2020-11-24]
Dong Zou [2020-11-19]
Ming Chen [2020-11-11]