scholarly journals Teaching old drugs new tricks to treat COVID-19

2022 ◽  
Vol 1 (1) ◽  
pp. 2-5
Author(s):  
Nina Notman
Keyword(s):  
2009 ◽  
Vol 43 (6) ◽  
pp. 30
Author(s):  
GREG FEERO
Keyword(s):  

2008 ◽  
Vol 38 (9) ◽  
pp. 57
Author(s):  
GREG FEERO
Keyword(s):  

2007 ◽  
Vol 37 (12) ◽  
pp. 35
Author(s):  
SARAH PRESSMAN LOVINGER
Keyword(s):  

2016 ◽  
Vol 16 (19) ◽  
pp. 2107-2114 ◽  
Author(s):  
Haijun Chen ◽  
Jianlei Wu ◽  
Yu Gao ◽  
Haiying Chen ◽  
Jia Zhou

Author(s):  
Tanay Dalvi ◽  
Bhaskar Dewangan ◽  
Rudradip Das ◽  
Jyoti Rani ◽  
Suchita Dattatray Shinde ◽  
...  

: The most common reason behind dementia is Alzheimer’s disease (AD) and it is predicted to be the third lifethreatening disease apart from stroke and cancer for the geriatric population. Till now only four drugs are available in the market for symptomatic relief. The complex nature of disease pathophysiology and lack of concrete evidences of molecular targets are the major hurdles for developing new drug to treat AD. The the rate of attrition of many advanced drugs at clinical stages, makes the de novo discovery process very expensive. Alternatively, Drug Repurposing (DR) is an attractive tool to develop drugs for AD in a less tedious and economic way. Therefore, continuous efforts are being made to develop a new drug for AD by repursing old drugs through screening and data mining. For example, the survey in the drug pipeline for Phase III clinical trials (till February 2019) which has 27 candidates, and around half of the number are drugs which have already been approved for other indications. Although in the past the drug repurposing process for AD has been reviewed in the context of disease areas, molecular targets, there is no systematic review of repurposed drugs for AD from the recent drug development pipeline (2019-2020). In this manuscript, we are reviewing the clinical candidates for AD with emphasis on their development history including molecular targets and the relevance of the target for AD.


Coronaviruses ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 49-56
Author(s):  
Gaurav M. Doshi ◽  
Hemen S. Ved ◽  
Ami P. Thakkar

The World Health Organization (WHO) has recently announced the spread of novel coronavirus (nCoV) globally and has declared it a pandemic. The probable source of transmission of the virus, which is from animal to human and human to human contact, has been established. As per the statistics reported by the WHO on 11th April 2020, data has shown that more than sixteen lakh confirmed cases have been identified globally. The reported cases related to nCoV in India have been rising substantially. The review article discusses the characteristics of nCoV in detail with the probability of potentially effective old drugs that may inhibit the virus. The research may further emphasize and draw the attention of the world towards the development of an effective vaccine as well as alternative therapies. Moreover, the article will help to bridge the gap between the new researchers since it’s the current thrust area of research.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tarun Jairaj Narwani ◽  
Narayanaswamy Srinivasan ◽  
Sohini Chakraborti

AbstractComputational methods accelerate the drug repurposing pipelines that are a quicker and cost-effective alternative to discovering new molecules. However, there is a paucity of web servers to conduct fast, focussed, and customized investigations for identifying new uses of old drugs. We present the NOD web server, which has the mentioned characteristics. NOD uses a sensitive sequence-guided approach to identify close and distant homologs of a protein of interest. NOD then exploits this evolutionary information to suggest potential compounds from the DrugBank database that can be repurposed against the input protein. NOD also allows expansion of the chemical space of the potential candidates through similarity searches. We have validated the performance of NOD against available experimental and/or clinical reports. In 65.6% of the investigated cases in a control study, NOD is able to identify drugs more effectively than the searches made in DrugBank. NOD is freely-available at http://pauling.mbu.iisc.ac.in/NOD/NOD/.


Sign in / Sign up

Export Citation Format

Share Document