Integrative Drug Discovery Through Multi-Omics and Artificial Intelligence: From Functional Genomics to Precision Antibody Engineering

The convergence of multi-omics technologies and artificial intelligence has emerged as a transformative paradigm in modern drug discovery, enabling a fundamental shift from reductionist single-target approaches to integrative, systems-level therapeutic development. This review synthesizes recent advances in integrative drug discovery strategies that combine functional genomics, particularly CRISPR-Cas۹-based screening, with precision antibody engineering and AI-driven computational platforms. Multi-omics integration spanning genomics, transcriptomics, proteomics, metabolomics, and epigenomics enables comprehensive characterization of disease mechanisms and identification of novel therapeutic targets. AI and machine learning demonstrate extraordinary capabilities in analyzing complex biological datasets, predicting drug-target interactions, optimizing antibody design, and accelerating lead discovery. AI models have improved target identification and lead optimization efficiency by up to ۴۰% compared to conventional approaches. Three-dimensional in vitro tumor models, including patient-derived organoids, serve as physiologically relevant platforms for drug screening and precision medicine. Clinical translation of integrative approaches in oncology, neurodegenerative diseases, and cardiovascular conditions demonstrates how the fusion of multi-omics with AI facilitates biomarker discovery, patient stratification, and personalized therapeutic interventions. Despite transformative potential, challenges persist regarding data harmonization, model interpretability, algorithmic bias, and clinical validation. This review provides a comprehensive framework for understanding how integrative drug discovery approaches are reshaping pharmaceutical development and offers perspectives on future directions toward precision medicine.

کلیدواژه ها:

Integrative drug discovery ، Multi-omics integration ، Artificial intelligence ، CRISPR functional genomics ، Precision antibody engineering ، Precision medicine