Study of 2 and 3-Dimensional Prediction of Breast Cancer Biomarkers from The Lincrna-Ror/Mir-145/Arf6 Expression Pathway
PI: Dr.rer.nat. Arli Aditya Parikesit, S.Si., M.Si.
Team Member:
Rizky Nurdiansyah, S.Si., M.Si.
David Agustriawan
External Collaborators: N/A
Students Involvement:
Jeremias Ivan (Bioinformatics Student)
Matching Fund
KEMENDIKBUDRISTEK 2018/2019
Project Description:
The search for fine-grained Triple Negative Breast Cancer (TNBC) biomarkers is considered a complex endeavor. Therefore, we devised a transcriptomics-based pipeline to cater the needs. The in-house molecular simulation methods were deployed, and the docking method could provide general protocol to detect the 2 and 3D structures of the non-coding (nc)RNA biomarkers. Herewith, we deployed our ncRNA TNBC biomarkers with molecular dynamics simulation and optimized the parameters accordingly. With the assistance of the NVIDIA ® corporation GPU research grant, we are able to resolve the ncRNA stability repertoire in a satisfactory manner.
