Table 7.

Examples of genomics applications in recombinant therapeutic protein development.

Application	Example
Improving expression systems	Researchers can optimize expression systems for recombinant protein production by studying host cell genomes [183].
Designing recombinant proteins	Genomics can be used to identify and design recombinant proteins with the desired functions [184].
Enhancing protein stability	Understanding the genomic context can aid in designing recombinant proteins with enhanced stability and activity [185].
Personalized medicine	Personalized genomics allows the development of recombinant proteins tailored to the genetic profiles of individual patients [186].
Metabolic engineering	Genomic insights can guide the redesign of metabolic pathways to efficiently produce recombinant proteins in microbial systems [187].
Biomarker discovery	Genomics aids in the identification of biomarkers that can be targeted with recombinant proteins for diagnostic or therapeutic purposes [188].
Understanding protein function	Comparative genomics can elucidate the functions of proteins by identifying conserved sequences and structures [189].
Enhanced protein folding	Genomic data can be used to understand and improve the folding of recombinant proteins [190].
Development of novel therapeutics	Genomics is used to identify potential targets of therapeutic recombinant proteins [191].
Cell line optimization	Cell line optimization results from: (i) research applied to parental, non-recombinant cell lines; (ii) systems-level datasets generated with recombinant cell lines; (iii) datasets linking phenotypic traits to relevant biomarkers; (iv) data depositories and bioinformatics tools; and (v) in silico model development [192].