scholarly journals Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics Database

Database ◽  
2012 ◽  
Vol 2012 ◽  
Author(s):  
Allan Peter Davis ◽  
Robin J. Johnson ◽  
Kelley Lennon-Hopkins ◽  
Daniela Sciaky ◽  
Michael C. Rosenstein ◽  
...  
Author(s):  
Xuliang Duan ◽  
Bing Guo ◽  
Yan Shen ◽  
Yuncheng Shen ◽  
Xiangqian Dong ◽  
...  
Keyword(s):  

2021 ◽  
Vol 14 ◽  
Author(s):  
Divya Goel ◽  
Ankit Srivastava ◽  
Ángel Aledo-Serrano ◽  
Anuja Krishnan ◽  
Divya Vohora

Background: The currently circulating novel SARS-CoV-2 coronavirus disease (COVID-19) has brought the whole world to a standstill. Recent studies have deciphered the viral genome structure, epidemiology and are in the process of unveiling multiple mechanisms of pathogenesis. Apart from atypical pneumonia and lung disease manifestations, this disease has also been found to be associated with neurological symptoms, which include dizziness, headache, stroke, or seizures, among others. However, a possible direct or indirect association between SARS-CoV-2 and seizures is still not clear. In any manner, it may be of interest to analyze the drugs being used for viral infection in the background of epilepsy or vice versa. Objective: To identify the most credible drug candidate for COVID-19 in persons with epilepsy or COVID-19 patients experiencing seizures. Methods: A literature search for original and review articles was performed, and further, the Comparative Toxicogenomics Database was used to unearth the most credible drug candidate. Results: Our search based on common mechanistic targets affecting SARS-CoV-2 and seizures revealed ivermectin, dexamethasone, anakinra, and tocilizumab for protection against both COVID-19 and seizures. Amongst the antiseizure medications, we found valproic acid as the most probable pharmacotherapy for COVID-19 patients experiencing seizures. Conclusion: These findings would hopefully provide the basis for initiating further studies on the pathogenesis and drug targeting strategies for this emerging infection accompanied with seizures or in people with epilepsy.


2018 ◽  
Vol 126 (1) ◽  
pp. 014501 ◽  
Author(s):  
Cynthia J. Grondin ◽  
Allan Peter Davis ◽  
Thomas C. Wiegers ◽  
Jolene A. Wiegers ◽  
Carolyn J. Mattingly

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e58201 ◽  
Author(s):  
Allan Peter Davis ◽  
Thomas C. Wiegers ◽  
Robin J. Johnson ◽  
Jean M. Lay ◽  
Kelley Lennon-Hopkins ◽  
...  

2001 ◽  
Vol 10 (03) ◽  
pp. 299-326 ◽  
Author(s):  
DIMITRI THEODORATOS ◽  
MOKRANE BOUZEGHOUB

A Data Warehouse (DW) is a large collection of data integrated from multiple distributed autonomous databases and other information sources. A DW can be seen as a set of materialized views defined over the remote source data. Until now research work on DW design is restricted to quantitatively selecting view sets for materialization. However, quality issues in the DW design are neglected. In this paper we suggest a novel statement of the DW design problem that takes into account quality factors. We design a DW system architecture that supports performance and data consistency quality goals. In this framework we present a high level approach that allows to check whether a view selection guaranteeing a data completeness quality goal also satisfies a data currency quality goal. This approach is based on an AND/OR dag representation for multiple queries and views. It also allows determining the minimal change propagation frequencies that satisfy the data currency quality goal along with the optimal query evaluation and change propagation plans. Our results can be directly used for a quality driven design of a DW.


2010 ◽  
Vol 39 (Database) ◽  
pp. D1067-D1072 ◽  
Author(s):  
A. P. Davis ◽  
B. L. King ◽  
S. Mockus ◽  
C. G. Murphy ◽  
C. Saraceni-Richards ◽  
...  

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