The revelation of anti - Parkinson, activity of Curcuma albiflora and Curcuma aurantiaca using prediction of activity spectra of substances software

• Main Authors: Anil, Prajapati Manisha, Pattanaik, Sandesh Kumar, Nainshi, Sharma, Neha, Kurana, Navneet
• Format: Conference Proceeding
• Language: English
• Subjects: Alzheimer's disease; Epilepsy; Neurological diseases; Software; Spectra
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0162977

Objective: There are many neurodegenerative disorders caused by different mechanisms. Mainly these diseases occur due to loss of neuronal function. In the world about 30 million people are suffering from neurological diseases and these diseases include Parkinsonism, depression, Alzheimer’s disease, epilepsy many others. In this paper, we are focusing on Parkinsonism. The goal of this research is to forecast the anti-Parkinson effect of phytoconstituents from Curcuma albiflora and Curcuma aurantica utilizing the prediction of activity spectra of substance (PASS). Method: In the study, we have used the PASS software which helped to predict the potential effect of a different chemical constituent of Curcuma albiflora and Curcuma aurantiaca. The prediction is done by using a canonical simplified molecular input line entry system which is taken from the PubChem website and compared with the marked drug levodopa. Result: From this study, we obtained that 1,8- cineole and α- pinene have all activities from the selected target but β elemene, β elemenone, caryophyllene have the least activities for the selected target sites. Conclusion: We tried to collect the beneficial effect of Curcuma albiflora and Curcuma aurantiaca from PASS regarding anti – Parkinson activity. We concluded that 1,8- cineole and α- pinene are beneficial for future research.