@Article{biocell.2024.049891,
AUTHOR = {MOHD ATHAR, ANU MANHAS, NISARG RANA, AHMAD IRFAN},
TITLE = {Computational and bioinformatics tools for understanding disease mechanisms},
JOURNAL = {BIOCELL},
VOLUME = {48},
YEAR = {2024},
NUMBER = {6},
PAGES = {935--944},
URL = {http://www.techscience.com/biocell/v48n6/57031},
ISSN = {1667-5746},
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.},
DOI = {10.32604/biocell.2024.049891}
}