In Silico Drug Designing of Breast Cancer in Homo sapiens
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Wadood A, Ahmed N, Shah L, Ahmad A, Hassan H, Shams S. In-silico drug design: An approach which revolutionarised the drug discovery process. OA Drug Design & Delivery. 2013; 1(1): 1–3.
Fosgerau K, Hoffman T. Peptide therapeutics: Current status and future directions. Drug Discovery Today. 2015; 20(1): 122–128.
Ciemny M, Kurcinski M, et al. Protein-peptide docking: Opportunities and challenges. Drug Discovery Today. 2018; 23(8): 1530–1537.
National Cancer Institute. Breast Cancer Treatment [Online] Available from https://www.cancer.
gov/types/breast/patient/breast-treatment-pdq#section/all.
Saunders C, Jassal S. Breast Cancer. Oxford: Oxford University Press; 2009.
American Cancer Society. What is breast cancer? [Online] Available from https://www.cancer.
org/cancer/breast-cancer/about/what-is-breast-cancer.html.
Anzhelika Mitsuk. (2016). Breast cancer information for young women. [Online] Available from https://www.theseus.fi/bitstream/handle/10024/123683/thesis%2020.12%20new.pdf?sequence=1.
Mayo Clinic. Breast Cancer. [Online] Available from https://www.mayoclinic.org/diseases-conditions/breast-cancer/symptoms-causes/syc-20352470.
American Cancer Society. What causes breast cancer? [Online] Available from https://www.cancer.org/cancer/breast-cancer/about/how-does-breast-cancer-form.html.
Kamińska M, Ciszewski T, Łopacka-Szatan K, Miotła P, Starosławska E. Breast cancer risk factors. Przeglad Menopauzalny Menopause Review. 2015; 14(3): 196–202.
Ban KA, Godellas CV. Epidemiology of breast cancer. Surg Oncol Clin N Am. 2014; 23:
–422.
Francken AB, Schouten PC, Bleiker E, et al. Breast cancer in women at high risk: The role of rapid genetic testing for BRCA1 and -2 mutations and the consequences for treatment strategies. Breast. 2013; 22: 561–568.
Antoniou A, Pharoah PD, Narod S, et al. Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case series unselected for family history: A combined analysis of 22 studies. Am J Hum Genet. 2003; 72: 1117–1130.
Thiébaut AC, Kipnis V, Chang SC, et al. Dietary fat and postmenopausal invasive breast cancer in the National Institutes of Health-AARP diet and health study cohort. J Natl Cancer Inst. 2007; 99(6): 451–462.
Saxe GA, Rock CL, Wicha MS, et al. Diet and risk for breast cancer recurrence and survival. Breast Cancer Res Treat. 1999; 53: 241–253.
Inic Z, Zegarac M, Inic M, Markovic I, Kozomara Z, Djurisic I, Inic I, Pupic G, Jancic S. Difference between luminal A and luminal B subtypes according to Ki-67, tumor size, and progesterone receptor negativity providing prognostic information. Clinical Medicine Insights: Oncology. 2014; 8: 107–111.
KEGG Pathway Database. [Online] Available from https://www.genome.jp/kegg/pathway.html.
wwPDB Consortium. Protein Data Bank: the single global archive for 3D macromolecular structure data. Nucleic Acids Research. 2019; 47 (D1): 520–528.
Molexus. Molegro Virtual Docker. Available at http://molexus.io/molegro-virtual-docker/#:~:text=Molegro%20Virtual%20Docker%20is%20an,binding%20modes%20of%20the%20ligands.
In Silico Drug Designing. (2019). Lipinski rule of five [Online] Available from sciencedirect.
com/topics/pharmacology-toxicology-and-pharmaceutical-science/lipinskis-rule-of-five#:~:text=
Traditionally%2C%20therapeutics%20have%20been%20small,P%20not%20greater%20than%
.
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