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Prediction of drug toxicity associated with gene polymorphisms by predicting protein structures
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Pharmaceutical Regulatory Affairs: Open Access

ISSN: 2167-7689

Open Access

Prediction of drug toxicity associated with gene polymorphisms by predicting protein structures


15th Annual European Pharma Congress

May 07-09, 2018 | Frankfurt, Germany

Kyonghee Son

University of Massachusetts Medical School, USA

Scientific Tracks Abstracts: Pharmaceut Reg Affairs

Abstract :

Inter-individual variations in the body's response and tolerance to drugs can be attributed to genetic polymorphisms, among others. A good example is dihydropyrimidine dehydrogenase gene (DPYD) single nucleotide polymorphisms (SNPs). DPYD encoding dihydropyrimidine dehydrogenase (DPD) is the first rate-limiting enzyme in the catabolic pathway of 5-fluorouracil (5-FU) and pyrimidines. A tolerable therapeutic dose of 5-FU for a DPD-normal patient can make a DPD-deficient patient intolerable. To save a patient's life and money, health professionals need a convenient and reliable way to find out a patient�s tolerance to 5-FU prior to clinical trials or 5-FU therapy. In this talk, I present a simple, easy and fast way to predict an individual�s intolerance to 5-FU using the secondary structure prediction programs, YASPIN, PSIPRED and JPred 3, freely available to anyone. These programs predict the DPD secondary structure with and without mutation(s) within DPYD, so that impact of the mutation-induced structural changes on functional sites of human DPD domains can be deduced. Among 11 SNPs analyzed as samples, two missense mutations, D949V (SNP A2846T) and C953S (SNP G2858C), in the DPD domain V are predicted to cause disruption of the domain core responsible for [4Fe-4S] clusters. Furthermore, a point mutation in a splicing region (14 G1A) in DPYD is predicted to produce truncated DPD mRNAs (exon 14 skipping) and disabled DPD proteins (missing 55 amino acids from D581 to N635) which cause a complete loss of DPD activity. SWISS-MODEL predicts significant change in the 3D structures of human DPD in the presence of exon 14 skipping, D949V and C953S mutation. Thus, prediction by these secondary structure prediction programs provides useful and reliable information about toxicity associated 5-FU due to mutation (s) in DPYD. kays1212@outlook.com

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