Evidence-Based Complementary and Alternative Medicine

Application of Natural Products in Experimental, and Cheminformatics-based Therapy for Neurological Disorders


Publishing date
01 Nov 2021
Status
Open
Submission deadline
09 Jul 2021

Lead Editor

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


Call for papers

This Issue is now open for submissions.

Papers are published upon acceptance, regardless of the Special Issue publication date.

 Submit to this Special Issue

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
Evidence-Based Complementary and Alternative Medicine
 Journal metrics
Acceptance rate27%
Submission to final decision68 days
Acceptance to publication33 days
CiteScore2.900
Impact Factor1.813