IMR Press / JIN / Volume 21 / Issue 1 / DOI: 10.31083/j.jin2101041
Open Access Review
Biological databases and tools for neurological disorders
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1 Department of Life Science, School of Basic Science & Research (SBSR), Sharda University, Greater Noida, 201310 Uttar Pradesh, India
2 Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, 17666 Al Ain, United Arab Emirates
3 Department of Biotechnology, School of Engineering & Technology (SET), Sharda University, Greater Noida, 201310 Uttar Pradesh, India
4 Department of Life Sciences, School of Pharmacy, International Medical University (IMU), Bukit Jalil, 57000 Kuala Lumpur, Malaysia
5 School of Pharmacy, Suresh Gyan Vihar University, Jagatpura, 302017 Jaipur, India
6 School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, 144411 Punjab, India
7 Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, 2007 New South Wales, Australia
8 Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, 2007 NSW, Australia
9 Department of Life Science and Bioinformatics, Assam University, 788011 Silchar, India
10 Department of Chemistry, University of Delhi, 110007 Delhi, India
11 Department of Stem Cell Biology, Institute for Research and Medical Consultations, Imam Abdulrahman Bin Faisal University, 31441 Dammam, Saudi Arabia
12 Department of Pharmaceutical Sciences, Maharshi Dayanand University, 124001 Rohtak, India
13 Centre of Research for Development (CRD4), Parul Institute of Applied Sciences, Parul University, 391760 Vadodara, Gujrat, India
14 Facultad de Química y de Farmacia, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul, 7820436 Santiago, Chile
15 Institute for Biological and Medical Engineering, Schools of Engineering, Medicine and Biological Sciences, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul, 7820436 Santiago, Chile
16 School of Applied Sciences, KK University, Nalanda, 803115 Bihar, India
17 Department of Applied Physics, School of Science, Aalto University, 00076 Espoo, Finland
18 Pre-Clinical Research Unit, King Fahd Medical Research Center, King Abdulaziz University, 22254 Jeddah, Saudi Arabia
19 Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, 22254 Jeddah, Saudi Arabia
20 Novel Global Community Educational Foundation, Hebersham, 2770 NSW, Australia
21 AFNP Med, Haidingergasse 29, 1030 Wien, Austria
*Correspondence:; (Niraj Kumar Jha); (Athanasios Alexiou)
These authors contributed equally.
J. Integr. Neurosci. 2022, 21(1), 41;
Submitted: 18 April 2021 | Revised: 10 June 2021 | Accepted: 13 July 2021 | Published: 28 January 2022
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.

Computational approaches to study of neuronal impairment is rapidly evolving, as experiments and intuition alone do not explain the complexity of the brain system. An overwhelming increase in the amount of new data from both theory and computational modeling necessitate the development of databases and tools for analysis, visualization and interpretation of neuroscience data. To ensure the sustainability of this development, consistent update and training of young professionals is imperative. For this purpose, relevant articles, chapters, and modules are essential to keep abreast of developments. This review seeks to outline the biological databases and analytical tools along with their applications. It is envisaged that such knowledge could provide a “training recipe” for young scientists and a guide for professionals and researchers in neuroscience.

Neurological disorders (NDs)
Fig. 1.
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