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Biological databases and tools for neurological disorders
Muhammad Bello Usman1,†, Shreesh Ojha2, Saurabh Kumar Jha3, Dinesh Kumar Chellappan4, Gaurav Gupta5, Sachin Kumar Singh6, Kamal Dua7,8, Shubhadeep Roychoudhury9, Neeraj Kumar10, Firdos Alam Khan11, Harish Dureja12, Vijay Upadhye13, Flavia Zacconi14,15, Pragya Prasanna16, Kavindra Kumar Kesari17, Ghulam Md Ashraf18,19, Athanasios Alexiou20,21,*, Niraj Kumar Jha3,*,†
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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: nirajkumarjha2011@gmail.com; niraj.jha@sharda.ac.in (Niraj Kumar Jha); alextha@yahoo.gr (Athanasios Alexiou)
†These authors contributed equally.
†These authors contributed equally.
J. Integr. Neurosci. 2022, 21(1), 41;
https://doi.org/10.31083/j.jin2101041
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.
Abstract
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.
Keywords
Neurological disorders (NDs)
Database
Tools
Neuroinformatics
NeuroDNet
PubMed
Cytoscape
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