Computational Modeling of Signal Transduction Pathways in Breast Cancerous Cell and Target Therapy
Prasanna Priya Golagani1, Shaik Khasim Beebi2, Tummala Sita Mahalakshmi3
1Prasanna Priya Golagani, Research Scholar in GITAM University, Visakhapatnam, A.P, India and an Assistant Professor in the Department of Computer Science Engineering at Vignan Institute of Information Technology. She Received M.E Degree from Andhra University in Computer Science Engineering Visakhapatnam, India.
2Dr. Shaik Khasim Beebi is a Professor-HOD, Chairperson, Board of Studies member in the Department of Biotechnology GITAM University Visakhapatnam, India.
3Dr. Tummala Sita Mahalakshmi Professor in the Department of Computer Science Engineering GITAM University Visakhapatnam, India.
Manuscript received on 11 April 2019 | Revised Manuscript received on 16 May 2019 | Manuscript published on 30 May 2019 | PP: 1170-1175 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3485058119/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: In this paper we identify the mutated signal transduction pathways in a breast cancerous cell. A simulated model is developed for these pathways. To reduce cancer some drugs are suggested that are helpful in correcting the pathways. Some of the pathways like PKB (Protein Kinase B), MAPK (Mitogen Activated Protein Kinase), MTOR (Mammalian Target of Rapamycin), Fas Ligand (Type-II Tran membrane Protein), Notch (Single Pass Transmembrane Receptor), SHH (Sonic Hedgehog), Tnf (Tumor Necrosis Factor), Wnt (Wingless/Integrated) Pathways are simulated. Converting these biological pathways into a computable model helps in analyzing it rapidly. For Computational modeling of signal transduction pathways, SBML (Systems Biology Markup Language) is used. Programming is done in SBML and executed in Cell Designer. In this paper simulated models of PKB, MAPK, MTOR, FasL, Notch, SHH, Tnf, Wnt pathways are developed and shown in the results. Target Therapy can be implemented to these pathways. Drugs like Wortmannin, Perifosine and Rapamycin are suggested. These drugs help in modifying the pathways in such a way that, their metabolism is converted into the metabolism of a normal breast cell. This helps in reducing breast cancer.
Index Terms: Cancer, Benign Cancer, Malignant Cancer, Breast Cancer, PKB, MTOR, MAPK, SBML, Cell Designer.
Scope of the Article: Computational Biology