Protein complexes are a collection of proteins that interact at a specific time and site to perform a specific
biological process. proteins as single units cannot perform well, but what causes a particular phenotype is a
set of protein interactions. one of the traits that has been considered in the livestock industry is skeletal muscle
growth and meat quality. growth traits are quantity variables that are controlled by many genes. the propose
of this study is the detection and study of protein complexes in protein-protein interaction networks related
to beef skeletal muscle. gene expression data with GSE25554 access number were downloaded from GEO
database. These data are related to the muscle tissue of beef cattle. filters for identifying genes with different
and significant expression were (-2> fold Chang> 2) and (Adj P-Value <0.05). Which was done using the
Limma package available in R software. Protein complexes were determined by the MCODE plugin in
Cytoscape software. In these complexes, the proteins with the highest communication score were squared
and introduced as seeds. DAVID database was used to identify the activity of seed genes. in the present study,
143 genes were examined, and three complexes were formed, in which the seed genes include FASN, FN1,
and SDHC. The results of gene activity showed that FN1 gene has various roles including cell adhesion and
cell growth. The FASN gene is involved in biological processes such as lipid transport, lipid metabolism and
muscle growth, it also affects the quality of meat. The SDHC gene is involved in the mitochondrial electron
transfer chain and is responsible for the transfer of electrons from succinate to coenzyme Q. Therefore, these
genes can be introduced as the key genes that control the skeletal muscle growth of beef cattle.