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Biological databases and tools for neurological disorders

Usman MB 1 , Ojha S 2 , Jha SK 3 , Chellappan DK 4 , Gupta G 5 , Singh SK 6 Show all authors , Dua K 7 , Roychoudhury S 8 , Kumar N 9 , Khan FA 10 , Dureja H 11 , Upadhye V 12 , Zacconi F 13 , Prasanna P 14 , Kesari KK 15 , Ashraf GM 16 , Alexiou A 17 , Jha NK 3

Affiliations 

  • 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 Department of Life Science and Bioinformatics, Assam University, 788011 Silchar, India
  • 9 Department of Chemistry, University of Delhi, 110007 Delhi, India
  • 10 Department of Stem Cell Biology, Institute for Research and Medical Consultations, Imam Abdulrahman Bin Faisal University, 31441 Dammam, Saudi Arabia
  • 11 Department of Pharmaceutical Sciences, Maharshi Dayanand University, 124001 Rohtak, India
  • 12 Centre of Research for Development (CRD4), Parul Institute of Applied Sciences, Parul University, 391760 Vadodara, Gujrat, India
  • 13 Facultad de Química y de Farmacia, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul, 7820436 Santiago, Chile
  • 14 School of Applied Sciences, KK University, Nalanda, 803115 Bihar, India
  • 15 Department of Applied Physics, School of Science, Aalto University, 00076 Espoo, Finland
  • 16 Pre-Clinical Research Unit, King Fahd Medical Research Center, King Abdulaziz University, 22254 Jeddah, Saudi Arabia
  • 17 Novel Global Community Educational Foundation, Hebersham, 2770 NSW, Australia
J Integr Neurosci, 2022 Jan 28;21(1):41.
PMID: 35164477 DOI: 10.31083/j.jin2101041

Abstract

Computational approach to study of neuronal impairment is rapidly evolving, as experiments and intuition alone could not explain the complexity of brain system. The increase in an overwhelming 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 are imperative. For this purpose, relevant articles, chapters, and modules are essential to keep abreast of developments. Therefore, this article seeks to outline the biological databases and analytical tools along with their applications. It's envisaged that knowledge along this line would be a "training recipe" for young talents and guide for professionals and researchers in neuroscience.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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