Application of Natural Products in Experimental, and Cheminformatics-based Therapy for Neurological Disorders
1Sichuan University, Sichuan, India
2King Abdulaziz University, Jeddah, Saudi Arabia
3University of Limerick, Limerick, Colombia
Application of Natural Products in Experimental, and Cheminformatics-based Therapy for Neurological Disorders
Description
Neurological disorders such as Alzheimer’s disease, Parkinson’s disease, epilepsy, depression, dementia, etc. are major diseases, and disorders affecting humans. The rapid increase in morbidity, drug resistance, and side-effects of existing drugs force scientists worldwide to research less harmful drugs. Drugs targeting the nervous system, blood-brain barrier, and accumulation of drugs in the brain are other important concerns for scientists.
For successful drug development, the molecules need to undergo rigorous clinical trial procedures which take time and major investment. In this case, cheminformatics play a very critical role in reducing both time and investment.
The aim of this Special Issue is to solicit original research articles in the field of neurological disorders. We highly encourage submissions that highlight the applications of cheminformatics. Review articles discussing the state of the art are also welcome.
Potential topics include but are not limited to the following:
- Quantitative structure-activity relationship (QSAR) studies for the design of drugs against neurological disorders
- Docking studies for the design of drugs against neurological disorders
- Molecular dynamic studies for the design of drugs against neurological disorders
- Quantum chemical studies for the design of drugs against neurological disorders
- Molecular mechanics studies for the design of drugs against neurological disorders
- Absorption, distribution, metabolism, excretion and toxicology (ADMET) predictions for drugs effective against neurological disorders
- Translational informatics adapted for studies involving neurological disorders
- Assessment of transcriptomic data for analysing the regulation of genes