Author(s):
Kaman Kumar, Pooja Singh, Divya Sharma, Akanksha Singh, Himanshu Gupta, Arjun Singh
Email(s):
arjunphar@gmail.com
DOI:
10.52711/2231-5713.2023.00030 
Address:
Kaman Kumar1, Pooja Singh1, Divya Sharma1, Akanksha Singh1, Himanshu Gupta1, Arjun Singh2*
1Department of Pharmacology, School of Pharmaceutical Sciences, Bhagwant University, Sikar Road, Ajmer, Rajasthan 305004, India.
2Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, United States.
*Corresponding Author
Published In:
Volume - 13,
Issue - 3,
Year - 2023
ABSTRACT:
In today's societies, Alzheimer's disease (AD) is a significant issue. In the US, more than five million people, most of whom are 65 or older, suffer from Alzheimer's disease. By 2060, there will be fourteen million Americans living with Alzheimer's disease, according to a report by the Alzheimer's Association. To find hits with polypharmacological activities, libraries of compounds can be biologically screened based on these targets. These hits can have their structural properties altered to improve the overall profile, just like molecules created using techniques based on knowledge or medicinal chemistry. Designing multi-target ligands against key targets of interest would undoubtedly benefit from knowledge of the roles played by various targets in the development of AD as well as pharmacophores with related biological activities. Computational tools are used to assist in the design of potential polypharmacological lead molecular scaffolds, in addition to knowledge-based and biological screening-based approaches. It is becoming more common to use pharmacophore modelling, machine learning, and structure-based virtual screening to forecast biological activity and target-ligand interaction for various chemical libraries.
Cite this article:
Kaman Kumar, Pooja Singh, Divya Sharma, Akanksha Singh, Himanshu Gupta, Arjun Singh. Prospective Current Novel Drug Target for the Identification of Natural Therapeutic Targets for Alzheimer's Disease. Asian Journal of Pharmacy and Technology. 2023; 13(3):171-4. doi: 10.52711/2231-5713.2023.00030
Cite(Electronic):
Kaman Kumar, Pooja Singh, Divya Sharma, Akanksha Singh, Himanshu Gupta, Arjun Singh. Prospective Current Novel Drug Target for the Identification of Natural Therapeutic Targets for Alzheimer's Disease. Asian Journal of Pharmacy and Technology. 2023; 13(3):171-4. doi: 10.52711/2231-5713.2023.00030 Available on: https://ajptonline.com/AbstractView.aspx?PID=2023-13-3-3
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