Call for Paper - September 2019 Edition
IJCA solicits original research papers for the September 2019 Edition. Last date of manuscript submission is August 20, 2019. Read More

Quantitative Understanding of Breast Cancer Genes

Print
PDF
IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology
© 2014 by IJCA Journal
NCWBCB - Number 1
Year of Publication: 2014
Authors:
Antara Sengupta
Sk. Sarif Hassan
Pabitra Pal Choudhury

Antara Sengupta, Sk. Sarif Hassan and Pabitra Pal Choudhury. Article: Quantitative Understanding of Breast Cancer Genes. IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology NCWBCB(1):15-17, May 2014. Full text available. BibTeX

@article{key:article,
	author = {Antara Sengupta and Sk. Sarif Hassan and Pabitra Pal Choudhury},
	title = {Article: Quantitative Understanding of Breast Cancer Genes},
	journal = {IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology},
	year = {2014},
	volume = {NCWBCB},
	number = {1},
	pages = {15-17},
	month = {May},
	note = {Full text available}
}

Abstract

Characterization of oncogenes which are responsible for Breast Cancer can help us to understand the molecular signature of those genes. As it is known that the DNA molecules are nothing but the combinations of four nucleotides A, T, C and G which encodes the genetic instructions, here in this proposed paper firstly it is tried to make a quantitative understanding of DNAs which are responsible for breast cancer by comprehending their structures, characteristics, functions, evolutions etc. which can help to identify those DNAs among several nucleotide strings. Secondly, it is tried to recognize a given nucleotide string as a probable breast cancer DNA, without any conventional biological experiment. In this case, the nucleotide strings of DNAs of thirty seven have been taken and are classified and quantified by adapting some mathematical features.

References

  • Sariego J (2010). "Breast cancer in the young patient". The American surgeon 76 (12): 1397–1401.
  • Mandelbrot,"The Fractal Geometry of Nature. "W. H. Freeman and Company. . ISBN 0-7167-1186-9.
  • Avnir (1998) "Is the geometry of Nature fractal".
  • K Develi, T Babadagli (1998) "Quantification of natural fracture surfaces using fractal geometry" Math.
  • Carlo Cattani, "Fractals and Hidden Symmetries in DNA" Mathematical Problems in Engineering Volume 2010, Article ID 507056
  • Sk. S. Hassan, P. Pal Choudhury and A. Goswami, (2012), "Underlying Mathematics in Diversification of Human Olfactory Receptors in Different Loci ". Under disciplinary Sciences:Life Sciences December 2013, Volume 5, Issue 4, pp 270-273
  • R. H. C. de Melo and A. Conci, (2008)"Succolarity: Defining a Method to calculate this Fractal Measure," ISBN: 978-80-227-2856-0 291- 294.
  • PJ Deschavanne, A Giron, J Vilain, G Fagot (1999) "Genomic signature: characterization and classification of species assessed by chaos game representation of sequences" Mol. Bio. Evo. 16 (10), 1391-1399.
  • Sk. Sarif Hassan, Pabitra Pal Choudhury and Aritra Bose, (2011), "A Quantitative Model for Human Olfactory Receptors ", Nature Precedings, npre20126967-2.
  • Yu Zu-Guo, (2002) "Fractals in DNA sequence analysis", Chinese Physics, 11 (12), 1313-1318.
  • B. B. Mandelbrot, "The fractal geometry of nature". New York, ISBN 0-7167-1186-9, 1982.
  • D. Avnir (1998) "Is the geometry of Nature fractal", Science 279, 39.
  • K Develi, T Babadagli (1998) "Quantification of natural fracture surfaces using fractal geometry" Math. Geology 30 (8), 971-998.
  • Yu Zu-Guo, (2002) "Fractals in DNA sequence analysis", Chinese Physics, 11 (12), 1313-1318.
  • Friedmann, T. ; Roblin, R. (1972). "Gene Therapy for Human Genetic Disease?". Science Vol 175 (4025), 949.
  • Suzanne A Eccles et. al" Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer" Breast Cancer Research 2013, 15:R92.