DSDBASE 2.0: updated version of DiSulphide dataBASE, a database on disulphide bonds in proteins

Author:

Kalmankar Neha V12,Pavalam Murugavel1,Indrakumar Sowmya3,Srinivasan Narayanaswamy3,Sowdhamini Ramanathan134ORCID

Affiliation:

1. National Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), GKVK Campus, Bellary Road, Bengaluru, Karnataka 560065, India

2. The University of Trans-Disciplinary Health Sciences and Technology (TDU), #74/2, Jarakabande Kaval, Post Attur, Via Yelahanka, Bengaluru, Karnataka 560064, India

3. Molecular Biophysics Unit, Indian Institute of Science, Bengaluru, Karnataka 560012, India

4. Institute of Bioinformatics and Applied Biotechnology, Biotech Park, GN Ramachandran Road, Electronics City Phase 1, Bengaluru, Karnataka 560100, India

Abstract

Abstract 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.

Funder

Science and Engineering Research Board, India

Department of Biotechnology , Ministry of Science and Technology, India

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

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