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Network biology: A promising approach for drug target identification against neurodevelopmental disorders


Amity Institute of Biotechnology, Amity University, Lucknow, 226028, India

* Corresponding Author: PRACHI SRIVASTAVA. Email: email

(This article belongs to this Special Issue: Bioinformatics Study of Diseases)

BIOCELL 2023, 47(8), 1675-1687.


Biological entities are involved in complicated and complex connections; hence, discovering biological information using network biology ideas is critical. In the past few years, network biology has emerged as an integrative and systems-level approach for understanding and interpreting these complex interactions. Biological network analysis is one method for reducing enormous data sets to clinically useful knowledge for disease diagnosis, prognosis, and treatment. The network of biological entities can help us predict drug targets for several diseases. The drug targets identified through the systems biology approach help in targeting the essential biological pathways that contribute to the progression and development of the disease. The novel strategical approach of system biology-assisted pharmacology coupled with computer-aided drug discovery (CADD) can help drugs fight multifactorial diseases efficiently. In the present review, we have summarized the role and application of network biology for not only unfolding the mechanism of complex neurodevelopmental disorders but also identifying important drug targets for diseases like ADHD, Autism, Epilepsy, and Intellectual Disability. Systems biology has emerged as a promising approach to identifying drug targets and aiming for targeted drug discovery for the precise treatment of neurodevelopmental disorders.


Cite This Article

NAQVI, W., SINGH, A., GARG, P., SRIVASTAVA, P. (2023). Network biology: A promising approach for drug target identification against neurodevelopmental disorders. BIOCELL, 47(8), 1675–1687.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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