In silico repurposing of antipsychotic drugs for Alzheimer’s disease

BMC Neuroscience

Research Article

Suresh Kumar¹  Shivani Kumar¹  Suman Chowdhury¹ 

[1] University School of Biotechnology, GGS Indraprastha University, Sector-16C, 110075, Dwarka, New Delhi, India;

关键词: Drug repurposing;    Alzheimer’s disease;    Antipsychotic drugs;    Acetylcholinesterase;    Butyrylcholinesterase;    Beta-secretase cleavage enzyme;    Monoamine oxidase;    N;    Molecular docking;    Schrodinger;   

DOI  :  10.1186/s12868-017-0394-8

 received in 2017-03-03, accepted in 2017-10-19,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundAlzheimer’s disease (AD) is the most prevalent form of dementia and represents one of the highest unmet requirements in medicine today. There is shortage of novel molecules entering into market because of poor pharmacokinetic properties and safety issues. Drug repurposing offers an opportunity to reinvigorate the slowing drug discovery process by finding new uses for existing drugs. The major advantage of the drug repurposing approach is that the safety issues are already investigated in the clinical trials and the drugs are commercially available in the marketplace. As this approach provides an effective solution to hasten the process of providing new alternative drugs for AD, the current study shows the molecular interaction of already known antipsychotic drugs with the different protein targets implicated in AD using in silico studies.ResultA computational method based on ligand–protein interaction was adopted in present study to explore potential antipsychotic drugs for the treatment of AD. The screening of approximately 150 antipsychotic drugs was performed on five major protein targets (AChE, BuChE, BACE 1, MAO and NMDA) by molecular docking. In this study, for each protein target, the best drug was identified on the basis of dock score and glide energy. The top hits were then compared with the already known inhibitor of the respective proteins. Some of the drugs showed relatively better docking score and binding energies as compared to the already known inhibitors of the respective targets. Molecular descriptors like molecular weight, number of hydrogen bond donors, acceptors, predicted octanol/water partition coefficient and percentage human oral absorption were also analysed to determine the in silico ADME properties of these drugs and all were found in the acceptable range and follows Lipinski’s rule.ConclusionThe present study have led to unravel the potential of leading antipsychotic drugs such as pimozide, bromperidol, melperone, anisoperidone, benperidol and anisopirol against multiple targets associated with AD. Benperidol was found to be the best candidate drug interacting with different target proteins involved in AD.

【 授权许可】

CC BY   
© The Author(s) 2017