Open Access iconOpen Access



Computational and bioinformatics tools for understanding disease mechanisms


1 Physics Department, University of Cagliari, Cittadella Universitaria, Monserrato (CA), 09042, Italy
2 Department of Chemistry, School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, 382426, India
3 Department of Chemistry, College of Science, King Khalid University, Abha, 61413, Saudi Arabia

* Corresponding Author: MOHD ATHAR. Email: email

(This article belongs to the Special Issue: Computational Approaches in Molecular and Cellular Biology: Advancements in Disease Research and Therapeutic Design)

BIOCELL 2024, 48(6), 935-944.


Computational methods have significantly transformed biomedical research, offering a comprehensive exploration of disease mechanisms and molecular protein functions. This article reviews a spectrum of computational tools and network analysis databases that play a crucial role in identifying potential interactions and signaling networks contributing to the onset of disease states. The utilization of protein/gene interaction and genetic variation databases, coupled with pathway analysis can facilitate the identification of potential drug targets. By bridging the gap between molecular-level information and disease understanding, this review contributes insights into the impactful utilization of computational methods, paving the way for targeted interventions and therapeutic advancements in biomedical research.


Cite This Article

APA Style
ATHAR, M., MANHAS, A., RANA, N., IRFAN, A. (2024). Computational and bioinformatics tools for understanding disease mechanisms. BIOCELL, 48(6), 935-944.
Vancouver Style
ATHAR M, MANHAS A, RANA N, IRFAN A. Computational and bioinformatics tools for understanding disease mechanisms. BIOCELL . 2024;48(6):935-944
IEEE Style
M. ATHAR, A. MANHAS, N. RANA, and A. IRFAN "Computational and bioinformatics tools for understanding disease mechanisms," BIOCELL , vol. 48, no. 6, pp. 935-944. 2024.

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.
  • 430


  • 114


  • 0


Share Link