The study of energy flow in living systems is known as bioenergetics, a branch of biochemistry. Energy conversion and transfer are involved in this exciting area of biological study. It has uses for mitochondrial metabolism and diseases of it as well as structural biology. The goal of the peer-reviewed, open access Bioenergetics journal is to publish the most thorough and trustworthy source of information on new findings and advancements in all fields of study through the publication of original articles, review articles, case studies, short communications, etc. and to make this information freely accessible online to researchers all over the world without any restrictions or additional subscriptions.

Breast tissue can grow into cancer in cases of breast cancer. A lump in the breast, a change in breast shape, dimpling of the skin, milk rejection, fluid emerging from the nipple, a newly inverted nipple, or a red or scaly patch of skin may be indications of breast cancer. Affected individuals may experience bone discomfort, enlarged lymph nodes, shortness of breath, or yellow skin. Obesity, a lack of exercise, alcoholism, hormone replacement therapy during menopause, ionising radiation, an early age at first menstruation, having children later in life or not at all, being older, having a prior history of breast cancer, and having a family history of breast cancer are risk factors for developing breast cancer. A genetic predisposition acquired from a person's parents, such as BRCA1 and BRCA2, is the cause of about 5–10% of instances. The cells that line milk ducts and the lobules that supply these ducts with milk are where breast cancer most frequently manifests itself. Ductal carcinomas are cancers that originate from the ducts, whereas lobular carcinomas are cancers that originate from lobules. There are more than 18 other breast cancer subtypes. Some form from pre-invasive lesions, including ductal carcinoma in situ. By performing a biopsy on the suspicious tissue, the diagnosis of breast cancer is verified. After a diagnosis is obtained, additional tests are performed to see if the cancer has progressed outside the breast and to identify the most promising treatments. Both the incidence and mortality rate of breast cancer in women are high. The prognosis of individual outcomes using its traditional clinical criteria is incredibly inaccurate. As a result, the goal was to create a novel signature to forecast patients with breast cancer's prognosis. Breast cancer is one of the most frequently discovered tumours and a factor in the death of women (BC). Through database mining, many biomarkers connected to survival and prognosis was discovered in earlier investigations. However, single-gene biomarkers' prediction abilities fall short of expectations. An improved prediction system might be based on genetic signatures. In order to identify a novel genetic signature that may be used to forecast BC prognosis, data from The Cancer Genome Atlas (TCGA) were analysed in this study. mRNA expression profiling was done on samples taken from TCGA BC patients. Research on gene set enrichment has been done to categorise gene sets that differ significantly between BC tissues and normal tissues.