G. Naveen Sundar1, Stalin Selvaraj2, D. Narmadha1, K. Martin Sagayam3, A. Amir Anton Jone3, Ayman A. Aly4, Dac-Nhuong Le5,6,*
CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 31-46, 2022, DOI:10.32604/cmes.2022.019914
Abstract Hepatocellular carcinoma (HCC) is one major cause of cancer-related mortality around the world. However, at
advanced stages of HCC, systematic treatment options are currently limited. As a result, new pharmacological
targets must be discovered regularly, and then tailored medicines against HCC must be developed. In this research,
we used biomarkers of HCC to collect the protein interaction network related to HCC. Initially, DC (Degree
Centrality) was employed to assess the importance of each protein. Then an improved Graph Coloring algorithm
was used to rank the target proteins according to the interaction with the primary target More >
Login
Register
