Genome mining

The mining process relies on a huge amount of data (represented by DNA sequences and annotations) accessible in genomic databases.

With the increasing number of genetic data, biotechnological companies have been able to use human DNA sequence to develop protein and antibody drugs through genome mining since 1992.

[6] In the late 1990s, many companies, such as Amgen, Immunec, Genentech were able to develop drugs that progressed to the clinical stage by adopting genome mining.

They are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.

[10] The followings are commonly used genetic algorithms: Genome mining applies on the discovery of natural product by facilitating the characterization of novel molecules and biosynthetic pathways.