Computational Biology- Nano Programmed Carrier and Computed Aided Surgical for Cancer

Authors

  • Trivedi SS Department of Information Technology, Loyola-ICAM College of Engineering and Technology, Chennai, India

DOI:

https://doi.org/10.26438/ijcse/v6si3.120122

Keywords:

nano programmed carriers, nanotechnology, programmed bio sensors, CAS, cancer computational biology

Abstract

The task of dealing with human body is one of the most complex one especially when it comes to curing someone suffering from heavy torment of malignant tumors. Cancer therapies are currently limited to surgery, radiation, and chemotherapy. All three methods risk damage to normal tissues or incomplete eradication of the cancer. Computational methods involves the development and application of data-analytical and theoretical methods, and computational techniques to the study of biological, and behavioral systems, and with Nanotechnology it offers the means to target chemotherapies directly and selectively to cancerous cells and neoplasms, guide in surgical resection of tumors, and enhance the therapeutic efficacy of radiation-based and other treatment modalities. All of this can add up to a decreased risk to the patient and an increased probability of survival. “Nano programmed carriers” or “NPC” carrying effective drugs are deployed in the blood stream. They are programmed to hit only the right spot through DNA computing which is interface to biochemical processes and are highly directional. On the other hand cancer abrupt can be predicted through Cancer computational biology. It aims to determine the future mutations in cancer through an algorithmic approach .It allows the gathering of data points using nano programmed robots and other sensing devices. This data is collected from DNA, RNA, and other biological structures. Areas of focus include determining the characteristics of tumors, analyzing molecules that are Involved in causing cancer, and understanding how the human genome relates to the causation of cancer

References

R. Weissleder, M.C. Schwaiger, S.S. Gambhir, H. Hricak, “Imaging approaches to optimize molecular therapies”, Science Translational Medicine, Vol. 8, Issue. 355, pp. 355-371, 2016.

Phillips E, Penate-Medina O, Zanzonico PB, Carvajal RD, Mohan P, Ye Y, Humm J, Gönen M, Kalaigian H, Schöder H, Strauss HW, Larson SM, Wiesner U, Bradbury MS, “Clinical translation of an ultrasmall inorganic optical-PET imaging nano particle probe”, Science Translational Medicine, Vol. 6, Issue. 260, pp. 260ra149, 2016.

Haun JB, Castro CM, Wang R, Peterson VM, Marinelli BS, Lee H, Weissleder R. , “Micro-NMR for rapid molecular analysis of human tumor samples”, Science Translational Medicine, Vol. 3, Issue.71, pp.71ra16, 2011.

Maeda H1, Nakamura H, Fang J, “The EPR effect for macromolecular drug delivery to solid tumors: Improvement of tumor uptake, lowering of systemic toxicity, and distinct tumor imaging in vivo”, Advanced Drug Delivery Reviews, Vol. 65, Issue. 1, pp. 71-79, 2013.

Bertrand, N., Wu, J., Xu, X., Kamaly, N. & Farokhzad, O. C. "Cancer nanotechnology: the impact of passive and active targeting in the area of modern cancer biology" Advanced Drug Delivery Reviews, Vol.66, pp. 2–25, 2014.

C He, X Duan, N Guo, C Chan, C Poon, RR Weichselbaum, W Lin, “Core-shell nano scale coordination polymers combine chemotherapy and photodynamic therapy to potentiate checkpoint blockade cancer immunotherapy”, Nature Communications, Vol. 7:12499, pp. 1-12, 2016.

Downloads

Published

2025-11-13
CITATION
DOI: 10.26438/ijcse/v6si3.120122
Published: 2025-11-13

How to Cite

[1]
S. S. Trivedi, “Computational Biology- Nano Programmed Carrier and Computed Aided Surgical for Cancer”, Int. J. Comp. Sci. Eng., vol. 6, no. 3, pp. 120–122, Nov. 2025.