TY  - EJOU
AU  - ATHAR, MOHD 
AU  - MANHAS, ANU 
AU  - RANA, NISARG 
AU  - IRFAN, AHMAD 

TI  - Computational and bioinformatics tools for understanding disease mechanisms
T2  - BIOCELL

PY  - 2024
VL  - 48
IS  - 6
SN  - 1667-5746

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

DO  - 10.32604/biocell.2024.049891