Abstract
The statistical method has simplified the processes for prediction of protein structure in economical way and reduced the complex methods reacquired for finding the structure. In statistical method, various machine learning methods are used. For finding the protein structure, this paper has used neural network for this purpose. This paper attempts to illustrate this method by using the feed forward neural network and deep learning toolbox for the stated purpose. The protein structure has made it possible to define the 3D structure of the protein. This has simplified the efforts of the biochemist to develop suitable drugs for various diseases with suitable power of the drug as well as the medical practitioner to work on the chronic diseases like cancer and other genetic diseases.
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Chopde, S., James, J. (2021). A Statistical Method to Predict the Protein Secondary Structure. In: Nath, V., Mandal, J. (eds) Nanoelectronics, Circuits and Communication Systems. Lecture Notes in Electrical Engineering, vol 692. Springer, Singapore. https://doi.org/10.1007/978-981-15-7486-3_29
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DOI: https://doi.org/10.1007/978-981-15-7486-3_29
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