A Novel Customized Big Data Analytics Framework for Drug Discovery

Authors

  • A. Jainul Fathima Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India
  • G. Murugaboopathi Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India

DOI:

https://doi.org/10.13052/2245-1439.7111

Keywords:

Big Data, Analytics, Framework, Drug Discovery

Abstract

Drug discovery is related to analytics as the method requires a technique to handle the extremely large volume of structured and unstructured biomedical data of multi-dimensional and complexity from pharmaceutical companies. To tackle the complexity of data and to get better insight into the data, big data analytics can be used to integrate the massive amount of pharmaceutical data and computational tools in an analytic framework. This paper presents an overview of big data analytics in the field of drug discovery and outlines an analytic framework which can be applied to computational drug discovery process and briefly discuss the challenges. Hence, big data analytics may contribute to better drug discovery.

 

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Author Biographies

A. Jainul Fathima, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India

A. Jainul Fathima received her B.Tech. degree in Information Technology from Anna University – Chennai in 2007 and M.Tech degree in Computer Science and Engineering from Anna University – Tirunelveli in 2009. She has 3 years of teaching experience. She is currently pursuing Ph.D. degree in Kalasalingam Academy of Research and Education, Krishnankoil. Her Research area includes Big data analytics, Computational Drug discovery, and Bioinformatics. She is a Life Member of the Indian Society for Technical Education (ISTE).

G. Murugaboopathi, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India

G. Murugaboopathi received the Undergraduate Degree in Computer Science and Engineering from Madurai Kamaraj University in 2000, the Post Graduate degree in Digital Communication and Network from Madurai Kamaraj University in 2002 and Ph.D in Computer Science and Engineering at Bharath University, Chennai. He has more than 45 publications in National, International Conference and International Journal proceedings. He has more than 15 years of teaching experience. His areas of interest include Wireless Sensor Networks, Bioinformatics. Mobile Communication, Mobile Adhoc Networks, Mobile Computing, Cloud Computing, Network Security, Network and Data Security, Cryptography and Network security. He is currently working as an Associate Professor in the Department of Computer Science and Engineering at Kalasalingam Academy of Research and Education, Tamil Nadu, India.

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Published

2018-01-03

How to Cite

1.
Fathima AJ, Murugaboopathi G. A Novel Customized Big Data Analytics Framework for Drug Discovery. JCSANDM [Internet]. 2018 Jan. 3 [cited 2024 Apr. 25];7(1-2):145-60. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/5289

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