Open Access

REVIEW

Computational and bioinformatics tools for understanding disease mechanisms

by MOHD ATHAR^1,*, ANU MANHAS², NISARG RANA², AHMAD IRFAN³

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:

(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. https://doi.org/10.32604/biocell.2024.049891

Received 22 January 2024; Accepted 03 April 2024; Issue published 10 June 2024

Abstract

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.

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Keywords

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