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The 2D and 3D Protein Sequencing Implementation Using Ant Colony Optimization Algorithm

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Recent Advances in Materials Processing and Characterization

Abstract

The application of protein sequence is widely used to compare the hidden sequence with all the similar protein sequences and revert index of the highest similarity scored protein. Therefore, it is necessary to construct efficient protein sequence system. This paper represents how to improve the protein sequencing algorithm theoretically. This paper includes the introduction to ant colony algorithm and 2D and 3D hydrophobic–hydrophilic models. Continuation with construction of model is with ant colony algorithm. The conclusion of the paper is with improving the protein sequencing theoretical calculation by using ant colony optimization algorithm.

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Correspondence to B. Ramya Sree .

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Ramya Sree, B., Indira Priyadarshini, T., Borra, T. (2023). The 2D and 3D Protein Sequencing Implementation Using Ant Colony Optimization Algorithm. In: Arockiarajan, A., Duraiselvam, M., Raju, R., Reddy, N.S., Satyanarayana, K. (eds) Recent Advances in Materials Processing and Characterization. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-5347-7_3

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  • DOI: https://doi.org/10.1007/978-981-19-5347-7_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-5346-0

  • Online ISBN: 978-981-19-5347-7

  • eBook Packages: EngineeringEngineering (R0)

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