2022
DOI: 10.52711/0974-360x.2022.00484
|View full text |Cite
|
Sign up to set email alerts
|

Promiscuous or Dirty drug with Multifunctional Druggability nature of Curcumin (Curcuma longa Linn.); Repurposing in propranolol withdrawal-induced OCD related Anxiety: A promising drug discovery besides One-Drug-One-Receptor approach via in silico in vivo studies

Abstract: Background: Curcumin (Curcuma longa) and propranolol display a plethora of pharmacological activity linked with multifunctional druggable nature designated as a promiscuous or dirty drug (magic shotguns) that hit 'on-target as well as 'off-target' (anti-target). Multifactorial origins, with complex neuronal networks and broad-spectrum symptomatology, operates most CNS disorders. Anxiety is one of the comorbidities in the psychogenic spectrum of obsessive-compulsive disorder (OCD). The present study of OCD has … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 60 publications
0
1
0
Order By: Relevance
“…The entire replacement of animals in toxicological investigation and testing remains a difficult assignment-we acknowledge M and D learning-based animal toxicity prediction can be the key. 5,8,9 conclusIon Conclusively, the attributes that are directly pertinent to the result being predicted tend to drive the predictive interpretation insensitive to the choice of algorithm. Consequently, automatically extracting predictive markers from 'raw' data is the prominent theme of a unique set of approaches in a dynamic area of investigation, called DL.…”
Section: Methods a N D Discussionmentioning
confidence: 99%
“…The entire replacement of animals in toxicological investigation and testing remains a difficult assignment-we acknowledge M and D learning-based animal toxicity prediction can be the key. 5,8,9 conclusIon Conclusively, the attributes that are directly pertinent to the result being predicted tend to drive the predictive interpretation insensitive to the choice of algorithm. Consequently, automatically extracting predictive markers from 'raw' data is the prominent theme of a unique set of approaches in a dynamic area of investigation, called DL.…”
Section: Methods a N D Discussionmentioning
confidence: 99%