Harnessing Genomic Data for Disease Understanding and Drug Discovery
A special issue of Current Issues in Molecular Biology (ISSN 1467-3045). This special issue belongs to the section "Bioinformatics and Systems Biology".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 487
Special Issue Editor
Interests: next-generation sequencing; single-cell sequencing; metagenomics; epigenomics; precision medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Genetic data have transformed medicine in recent years with their unparalleled insights into disease mechanisms, patient reactions, and possible treatment targets. The rapid evolution of NGS technologies has revolutionized our ability to decode the human genome, unlocking unprecedented insights into the genetic basis of health and disease. By enabling the comprehensive analysis of genomic, transcriptomic, and epigenomic landscapes, NGS has become a cornerstone of precision medicine. Through large-scale genomic studies, researchers can identify the genetic variants associated with complex diseases, elucidate pathogenic mechanisms, and uncover novel therapeutic targets.
Integrating genomic data with clinical and phenotypic information accelerates the discovery of disease biomarkers and informs patient stratification strategies. This approach enhances drug development pipelines by improving target validation and reducing attrition rates in clinical trials. Moreover, the use of pharmacogenomics offers the possibility of customizing treatments for each patient, increasing effectiveness while reducing side effects. Approaches like multi-omics that integrate genomics with other omics data, such as proteomics and metabolomics, provide a more comprehensive understanding of disease mechanisms and potential therapeutic targets.
Recent advances in computational biology and artificial intelligence are further enhancing our ability to interpret genomic datasets, leading to more refined disease models as well as informed drug design. Therefore, one can conclude, as we continue to harness the power of genomic data, that we are moving closer to an era where disease prevention, diagnosis, and treatment are guided by a deep understanding of personalized medicine. Gene therapies like gene editing, cell-based therapies, and RNA-based treatments have the potential to revolutionize the treatment of genetic disorders and other complex diseases.
Dr. Gaurav Tripathi
Guest Editor
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Keywords
- pharmacogenomics
- genomics
- transcriptomics
- epigenomics
- drug discovery
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