TY - JOUR
T1 - CytoMegaloVirus Infection Database
T2 - A Public Omics Database for Systematic and Comparable Information of CMV
AU - Kaushik, Aman Chandra
AU - Mehmood, Aamir
AU - Upadhyay, Arnav Kumar
AU - Paul, Shalinee
AU - Srivastava, Shubham
AU - Mali, Prayuv
AU - Xiong, Yi
AU - Dai, Xiaofeng
AU - Wei, Dong Qing
AU - Sahi, Shakti
N1 - Publisher Copyright:
© 2019, International Association of Scientists in the Interdisciplinary Areas.
PY - 2020/6/1
Y1 - 2020/6/1
N2 - CytoMegaloVirus (CMV) is known to cause infection in humans and may remain dormant throughout the life span of an individual. CMV infection has been reported to be fatal in patients with weak immunity. It is transmitted through blood, saliva, urine, semen and breast milk. Although medications are available to treat the infected patients, there is no cure for CMV. This concern prompted us to construct a comprehensive database having exhaustive information regarding CMV, its infections and therapies to be available on a single platform. Thus, we propose a newly designed database that includes all the information from various public resources such as biological databases, virus taxonomy databanks, viral databases, and drug bank, integrated into this database, named as cytomegalovirus database (CMVdb). It features all the relevant data regarding the strains of CMV, genes, expressed proteins, the genomic sequence of CMV and drugs used in the treatment of cytomegalovirus infection. CMVdb has a unique feature of in-house data analysis, so all the data obtained from various resources are processed within the system. The user interface is more responsive because of the integrated platform that will highly facilitate the researchers. Based on CMVdb functionality and quality of the data, it will accelerate the research and development in the field of infectious diseases and immunology with a special focus on CMV. The obtained data would be useful in designing better therapeutic strategies and agents for the treatment of CMV infections. The proposed database (CMVdb) is freely accessible at http://shaktisahislab.com/include/CMV/ or http://weislab.com/WeiDOCK/include/content/CMV/.
AB - CytoMegaloVirus (CMV) is known to cause infection in humans and may remain dormant throughout the life span of an individual. CMV infection has been reported to be fatal in patients with weak immunity. It is transmitted through blood, saliva, urine, semen and breast milk. Although medications are available to treat the infected patients, there is no cure for CMV. This concern prompted us to construct a comprehensive database having exhaustive information regarding CMV, its infections and therapies to be available on a single platform. Thus, we propose a newly designed database that includes all the information from various public resources such as biological databases, virus taxonomy databanks, viral databases, and drug bank, integrated into this database, named as cytomegalovirus database (CMVdb). It features all the relevant data regarding the strains of CMV, genes, expressed proteins, the genomic sequence of CMV and drugs used in the treatment of cytomegalovirus infection. CMVdb has a unique feature of in-house data analysis, so all the data obtained from various resources are processed within the system. The user interface is more responsive because of the integrated platform that will highly facilitate the researchers. Based on CMVdb functionality and quality of the data, it will accelerate the research and development in the field of infectious diseases and immunology with a special focus on CMV. The obtained data would be useful in designing better therapeutic strategies and agents for the treatment of CMV infections. The proposed database (CMVdb) is freely accessible at http://shaktisahislab.com/include/CMV/ or http://weislab.com/WeiDOCK/include/content/CMV/.
KW - Biological database
KW - CMV
KW - CMV database
KW - HCMV
KW - Infection
KW - Public database
UR - http://www.scopus.com/inward/record.url?scp=85076228069&partnerID=8YFLogxK
U2 - 10.1007/s12539-019-00350-x
DO - 10.1007/s12539-019-00350-x
M3 - Article
C2 - 31813095
AN - SCOPUS:85076228069
SN - 1913-2751
VL - 12
SP - 169
EP - 177
JO - Interdisciplinary Sciences - Computational Life Sciences
JF - Interdisciplinary Sciences - Computational Life Sciences
IS - 2
ER -