Abstract
This review focus on the use of computational intelligence techniques for the identification of drugs via its molecular structure. Automation identification of drugs has been a challenging problem in bioinformatics. Hence, this has successfully drawn the attention from the researchers. In the past decade, computational intelligence has been widely applied in several fields such as electrical engineering, computer science, business, and electronic and communication engineering. However, recently there also many researchers who apply these techniques in the Bioinformatics field. There are various techniques that have been applied in the drug identification over the past few years. In this paper, we will present a theoretical overview of computing techniques for drug molecular structure identification, a brief description of the problem and issues involved in it, is first discussed. Then, we will discuss the application of computational intelligence in the drug identification based on the previous work.
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Acknowledgments
This work was supported by Collaborative Research Programme (CRP)—ICGEB Research Grant (CRP/MYS13-03) from International Centre for Genetic Engineering and Biotechnology (ICGEB), Italy and University Technical Malaysia Melaka under GLuar/2014/FTMK(1)/A00004.
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Appendix A
Appendix A
An overview of chemical analysis process of controlled substances [23].
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Saw, Y.C., Muda, A.K. (2016). An Overview of Computational Intelligence Technique in Drug Molecular Structure Identification. In: Snášel, V., Abraham, A., Krömer, P., Pant, M., Muda, A. (eds) Innovations in Bio-Inspired Computing and Applications. Advances in Intelligent Systems and Computing, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-28031-8_41
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DOI: https://doi.org/10.1007/978-3-319-28031-8_41
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