[1K5-GS-3c] Knowledge utilization and sharing

5:55 PM - 6:10 PM JST(8:55 AM - 9:10 AM UTC)

[1K5-GS-3c-02] Prediction Modeling of Molecular Network Activity of SPINK1 General Cancer Pathway

〇Shihori Tanabe¹, Hiroyoshi Y Tanaka², Sabina Quader³, Ryuichi Ono¹, Motohiro Kojima⁴, Horacio Cabral⁵ (1. Natl. Inst. of Health Sciences, 2. Okayama Univ., 3. iCONM, 4. Kyoto Prefecture Univ. of Medicine, 5. The Univ. of Tokyo)

Keywords:

data science,bioinformatics,disease network analysis,prediction model,molecular pathway

Serine protease inhibitor, Kazal type 1 (SPINK1) general cancer pathway is involved in cancer proliferation, such as pancreatic cancer. SPINK1 is mainly produced in acinar cells and protects the pancreas by preventing premature trypsinogen activation under normal conditions. (1) This study aims to develop a prediction model for the activation state of the SPINK1 general cancer pathway. (2) We developed a computational model to predict the activation state of the SPINK1 general cancer pathway using 50 pathway images in activated states and 50 pathway images in inactivated states, implemented in Python. The accuracy of the prediction model was 95% when validated with additional data that were not used for training. The prediction model of activation states of the SPINK1 General Cancer Pathway may be useful for drug targeting.