Data mining has proven to be highly useful for commercial purposes, especially in identifying enzymes with unique or exceptional characteristics that can be utilized in various industrial processes or in the development of genetically modified organisms. With the help of genomics and data mining, researchers can now search for hypothetical proteins with homology with known proteins or enzymes. Through the use of bioinformatic tools and statistical models, TAXON can analyze large amounts of genomic or transcriptomic data to identify enzymes with specific properties. 

TAXON provides services that involve the identification of enzymes suitable for commercial use through in-silico methods. Our approach involves the use of bioinformatics tools and statistical models to search protein databases with precision and specificity for specific purposes. The company performs ad hoc procedures that combine data mining and genomics to search for hypothetical protein homologs of known proteins or enzymes. To achieve this, we utilize BLASTP/PHMMER search methods at public or custom databases to identify enzymes of interest. Afterward, we select representative homologs and construct a hidden Markov model (HMM) to further screen and identify homologs codified in genomes of organisms adapted to specific niches, such as high salt or temperature. Finally, we use the HMM to identify proteins or enzymes with exceptional properties that are applicable in the industrial, agronomical, or pharmaceutical sectors.

Deliverables of Enzyme discovery service:

• Found enzyme sequences (in FASTA format)
• When possible, the annotated region at the gene discovery location (Genbank format)
• A complete report describing methods and supporting data for enzyme discovery (in PDF format)

See Our Services in Practice