Bioinformatics and Systems Biology for Decoding Complex Diseases Molecular Mechanisms

Dear Colleagues,

Bioinformatics and Systems Biology are interdisciplinary tools that decode the complexity of diseases across various scales. By integrating big biological data with computational models, these fields provide insights into the complex mechanisms driving diseases, thereby advancing personalized and precision medicine. Investigate complex mechanistic mechanisms by analyzing and interpreting biological information, such as DNA sequences, protein structures, and gene expression, integrating experimental data, computational modeling, and mathematical analysis.

In disease understanding, bioinformatics analyzes vast and complex biological data, including omics data to pinpoint disease-related genes, pathways, and biomarkers. Systems Biology complements this by modeling the interactions within biological systems in time and space, elucidating how biomolecular variations and environmental factors influence disease onset and progression.

Moreover, these methodologies contribute to the development of novel therapeutic and diagnostic approaches by identifying biomarker signatures, facilitating drug discovery, predicting individualized drug responses based on molecular profiles, and optimizing treatment strategies. By unraveling the molecular underpinnings of diseases, bioinformatics and systems biology equip clinicians with invaluable tools for early diagnosis, prognosis, and the tailored development of precision medicine, thereby advancing healthcare towards more effective disease prevention and treatment paradigms.

Dr. Iman Tavassoly
Guest Editor

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• complex diseases
• bioinformatics
• systems biology