| Literature DB >> 26220908 |
Ashwini Kumar1, Chaluveelaveedu Murleedharan Nisha1, Chitrangda Silakari1, Isha Sharma1, Kanukanti Anusha1, Nityasha Gupta1, Prateek Nair1, Timir Tripathi2, Awanish Kumar3.
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder in which the death of brain cells causes memory loss and cognitive decline, i.e., dementia. The disease starts with mild symptoms and gradually becomes severe. AD is one of the leading causes of mortality worldwide. Several different hallmarks of the disease have been reported such as deposits of β-amyloid around neurons, hyperphosphorylated tau protein, oxidative stress, dyshomeostasis of bio-metals, low levels of acetylcholine, etc. AD is not simple to diagnose since there is no single diagnostic test for it. Pharmacotherapy for AD currently provides only symptomatic relief and mostly targets cognitive revival. Computational biology approaches have proved to be reliable tools for the selection of novel targets and therapeutic ligands. Molecular docking is a key tool in computer-assisted drug design and development. Docking has been utilized to perform virtual screening on large libraries of compounds, and propose structural hypotheses of how the ligands bind with the target with lead optimization. Another potential application of docking is optimization stages of the drug-discovery cycle. This review summarizes the known drug targets of AD, in vivo active agents against AD, state-of-the-art docking studies done in AD, and future prospects of the docking with particular emphasis on AD.Entities:
Keywords: Alzheimer's disease; drug targets; inhibitors; molecular docking; therapy
Mesh:
Year: 2015 PMID: 26220908 DOI: 10.1016/j.jfma.2015.04.001
Source DB: PubMed Journal: J Formos Med Assoc ISSN: 0929-6646 Impact factor: 3.282