Algorithm Model Determination of DNA Primer Design For The Success PCR Process

MABBI – Research conducted by Teddy Siswanto, Nesti Fronika Sianipar, Harco Leslie Hendric Spits Warnars, and Harjanto Prabowo from Trisakti University entitled Algorithm Model Determination of DNA Primer Design For The Success PCR Process.

Deoxyribonucleic Acid Primer Design is an important factor in the success of the Polymerase Chain Reaction process because it will determine the value of Guanine and Cytosine content and Melting temperature for the genome amplification process in the adequacy of research data. To get a good primer design, a simulation process is needed to get the desired results, namely Guanine and Cytosine content between 50%-60%, Melting temperature 50o-65oC, a minimum length of 70 base pair sequences and the temperature difference between the forward primer and reverse primer less than 5oC. Usually researchers use the Primer3plus or NCBI Primer-BLAST software to get the Deoxyribonucleic Acid Primer Design results. Because there are limitations in the use of the software, the researchers, researchers want to use software that are suitable for current and future research needs. For this reason, a new algorithm model is needed to make software to support the needs of researchers. The method used in the algorithm model is to use Start Codon ATG and Stop Codon TAA, TAG and TGA with sequence lengths of 18, 21 and 24 base pairs. The raw data used is the Deoxyribonucleic Acid of the Typhonium Flagelliforme plant which has potential anti-cancer compounds. The new algorithm model resulted in 22 (twenty two) Deoxyribonucleic Acid Primer Design options, all of which met the data constraints and research requirements (Tri/MABBI)

Read more





Leave a Reply

Your email address will not be published. Required fields are marked *