Title: SCAN DB: an integrated catalogue of computationally characterised NER specific skin cancers
Authors: Varsha Mehta; Tanya Singh; Ankush Bansal; Tiratha Raj Singh
Addresses: Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan-173234, Himachal Pradesh, India ' Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan-173234, Himachal Pradesh, India ' Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan-173234, Himachal Pradesh, India ' Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan-173234, Himachal Pradesh, India
Abstract: SCAN DB, acronym for Skin cancer NER database, provides a unique, first of its kind repository for understanding the regulatory mechanism of the nucleotide excision repair (NER) pathway, disease dynamics, genetics, clinical information, expression, and evolutionary trajectories of the skin cancers. DNA damage has emerged as a major culprit in cancer and many age related diseases. DNA repair and genomic integrity management have become of prime importance in this cancerous era. One of the significant pathways to remove these bulky lesions is NER pathway, whose deficiencies of NER repair proteins are also associated with the skin cancer prone inherited disorder - Xeroderma pigmentosum and other neurodegenerative abnormalities like Cockayne Syndrome and Trichothiodystrophy. However, a well structured, integrated and comprehensive resource of NER pathway and related skin cancers is presently not available. Therefore, SCAN DB effectively bridges this gap in knowledge. The database can be accessed using the URL: http://bioinfoindia.org/SCANDB//index.php
Keywords: NER; nucleotide excision repair; xeroderma pigmentosum; cockayne syndrome; trichothiodystrophy; DNA damage; DNA repair.
DOI: 10.1504/IJBRA.2020.109099
International Journal of Bioinformatics Research and Applications, 2020 Vol.16 No.3, pp.245 - 256
Received: 14 Jul 2017
Accepted: 23 Dec 2017
Published online: 20 Aug 2020 *