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REVIEW

Computational and bioinformatics tools for understanding disease mechanisms

MOHD ATHAR1,*, 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: email
(This article belongs to the Special Issue: Computational Approaches in Molecular and Cellular Biology: Advancements in Disease Research and Therapeutic Design)

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

Received 22 January 2024; Accepted 03 April 2024; Published online 26 April 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.

Keywords

Interaction database; Disease mechanisms; Protein function; Network analysis; Bioinformatics; Genetic variations; Protein-protein interactions; Signaling pathways

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