Knowledge Discovery in Databases of Proteomics by Systems Modeling in Translational Research on Pancreatic Cancer

Authors

Mathilde Resell, Norwegian University of Science and Technology
Elisabeth Pimpisa Graarud, Norwegian University of Science and Technology
Hanne-Line Rabben, Norwegian University of Science and Technology
Animesh Sharma, Central Norway Regional Health Authority
Lars Hagen, Central Norway Regional Health Authority
Linh Hoang, Norwegian University of Science and Technology
Nan T. Skogaker, Norwegian University of Science and Technology
Anne Aarvik, Norwegian University of Science and Technology
Magnus K. Svensson, Norwegian University of Science and Technology
Manoj Amrutkar, Oslo University Hospital
Caroline S. Verbeke, Oslo University Hospital
Surinder K. Batra, University of Nebraska Medical CenterFollow
Gunnar Qvigstad, St. Olav's Hospital
Timothy C. Wang, Columbia University Irving Medical Center
Anil Rustgi, Columbia University Irving Medical Center
Duan Chen, Norwegian University of Science and Technology
Chun-Mei Zhao, Norwegian University of Science and Technology

Document Type

Article

Journal Title

Proteomes

Publication Date

5-29-2025

Volume

13

Abstract

BACKGROUND: Knowledge discovery in databases (KDD) can contribute to translational research, also known as translational medicine, by bridging the gap between

METHODS: This framework includes the data collection of a composition model (various research models), processing model (proteomics) and analytical model (bioinformatics, artificial intelligence/machine leaning and pattern evaluation), knowledge presentation, and feedback loops for hypothesis generation and validation. We applied this workflow to study pancreatic ductal adenocarcinoma (PDAC).

RESULTS: We identified the common proteins between human PDAC and various research models

CONCLUSIONS: This systems modeling workflow can be a valuable method for KDD, facilitating knowledge discovery in translational targets in general, and in particular to PADA in this case.

ISSN

2227-7382

DOI Link

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Resell, Mathilde; Graarud, Elisabeth Pimpisa; Rabben, Hanne-Line; Sharma, Animesh; Hagen, Lars; Hoang, Linh; Skogaker, Nan T.; Aarvik, Anne; Svensson, Magnus K.; Amrutkar, Manoj; Verbeke, Caroline S.; Batra, Surinder K.; Qvigstad, Gunnar; Wang, Timothy C.; Rustgi, Anil; Chen, Duan; and Zhao, Chun-Mei, "Knowledge Discovery in Databases of Proteomics by Systems Modeling in Translational Research on Pancreatic Cancer" (2025). Journal Articles: Biochemistry & Molecular Biology. 176.
https://digitalcommons.unmc.edu/com_bio_articles/176