If you have used DES-RedoxVasc knowledgebase in a scientific publication, we would appreciate citing the following open access article:
Essack M, Salhi A, Stanimirovic J, Tifratene F, Raies AB, Hungler A, Uludag M, Van Neste C, Trpkovic A, Bajic VP, Bajic VB, and Isenovic ER, Literature-based enrichment insights into redox control of vascular biology, Oxidative Medicine and Cellular Longevity, 2019, vol. 2019, Article ID 1769437, 16 pages, 2019. doi: 10.1155/2019/1769437.
Welcome to the DES-RedoxVasc, the knowledge exploration system focused relationships between redox processes and vascular biology. DES-RedoxVasc belongs to the next generation of knowledge-mining resources.
Overproduction of reactive oxygen species (ROS) leads to cellular oxidative stress. This may result in an irrecoverable imbalance of redox (oxidation-reduction reaction) function that deregulates redox homeostasis. Such deregulation itself could lead to several diseases including neurodegenerative, cardiovascular, cancers, and others. Thus, the amount of literature focused on redox processes in vascular biology has become overwhelming.
It would be useful to have the capability to explore links between different components of redox system at different system levels, and disease of cardiovascular system (CVS). We approached this problem by analyzing published information from 233’399 documents consisting of PubMed abstracts and full-text documents of PubMed Central linking redox processes to functions of CVS. Based on such information, we developed the DES-RedoxVasc knowledgebase that allows for exploration of links between various relevant concepts from 28 topic-specific dictionaries such as pathways, diseases, mutations, genes/proteins, miRNAs, long ncRNAs, toxins, drugs, biological processes, molecular functions, etc.
DES-RedoxVasc allows exploring:
- individual statistically enriched concepts,
- individual pairs of concepts,
- co-occurrence of all concepts with an individual concept,
- interactive heterogeneous networks of associated concepts, and
- hypotheses generated through semantic similarity
- export of user’s results.
DES-RedoxVasc presents to users statistically enriched single and associated concepts based on a default false discovery rate (FDR) below 0.05, where FRD is calculated based on Benjamini–Hochberg procedure for correction for multiplicity testing.