DSDBASE 2.0: updated version of DiSulphide dataBASE, a database on disulphide bonds in proteins.
|Title||DSDBASE 2.0: updated version of DiSulphide dataBASE, a database on disulphide bonds in proteins.|
|Publication Type||Journal Article|
|Year of Publication||2022|
|Authors||Kalmankar NV, Pavalam M, Indrakumar S, Srinivasan N, Sowdhamini R|
|Date Published||2022 Mar 01|
Disulphide bonds are stabilizing crosslinks in proteins and serve to enhance their thermal stability. In proteins that are small and rich in disulphide bonds, they could be the major determining factor for the choice of conformational state since their constraints on appropriate backbone conformation can be substantial. Such crosslinks and their positional conservation could itself enable protein family and functional association. Despite the importance of the field, there is no comprehensive database on disulphide crosslinks that is available to the public. Herein we provide information on disulphides in DSDBASE2.0, an updated and significantly expanded database that is freely available, fully annotated and manually curated database on native and modelled disulphides. The web interface also provides several useful computational tools that have been specifically developed for proteins containing disulphide crosslinks. The modelling of disulphide crosslinks is performed using stereochemical criteria, coded within our Modelling of Disulphides in Proteins (MODIP) algorithm. The inclusion of modelled disulphides potentially enhances the loop database substantially, thereby permitting the recognition of compatible polypeptide segments that could serve as templates for immediate modelling. The DSDBASE2.0 database has been updated to include 153,944 PDB entries, 216,096 native and 20,153,850 modelled disulphide bond segments from PDB January 2021 release. The current database also provides a resource to user-friendly search for multiple disulphide bond containing loops, along with annotation of their function using GO and subcellular localization of the query. Furthermore, it is possible to obtain the three-dimensional models of disulphide-rich small proteins using an independent algorithm, RANMOD, that generates and examines random, but allowed backbone conformations of the polypeptide. DSDBASE2.0 still remains the largest open-access repository that organizes all disulphide bonds of proteins on a single platform. The database can be accessed from http://caps.ncbs.res.in/dsdbase2.
|Alternate Journal||Database (Oxford)|
|Grant List||JC Bose Fellowship (SB/S2/JC-071/2015) / / Science and Engineering Research Board, India / |
Bioinformatics Centre Grant (BT/PR40187/BTIS/137/9 / / Department of Biotechnology , Ministry of Science and Technology, India /