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Three-Dimensional Protein Structure Prediction–Exploratory Review

Publication Type : Book Chapter

Publisher : Springer, Singapore

Source : In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. ICAECT 2020. Lecture Notes in Electrical Engineering, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-15-9019-1_5

Url : https://link.springer.com/chapter/10.1007/978-981-15-9019-1_5

Campus : Kochi

School : School of Computing

Department : Computer Science

Year : 2020

Abstract : More than sixty years have passed since it has disclosed that protein can be developed from amino acid sequence. Structures of protein have proven to be a key piece of information for designing a drug, synthetic biology, and diagnosis of diseases. By knowing the protein structure, one can predict its function, find out how molecules or drugs skillfully bind with proteins and structural behavior of protein can help us to diagnose diseases and to invent new drugs. Due to the fast growth of protein sequence from the amino acid, it finds to be much more difficult with experimental techniques to obtain three-dimensional protein structures. Hence protein structure prediction (PSP) is still seen to be more important. Here in this paper, we are presenting a review about the formation of protein, different protein structure, factors affecting the tertiary structure, the importance of protein structure prediction, structural database, experimental and recent computational approaches for PSP, and similarity measures.

Cite this Research Publication : Geethu, S., Vimina, E.R. (February 2021), "Three-Dimensional Protein Structure Prediction–Exploratory Review," In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. ICAECT 2020. Lecture Notes in Electrical Engineering, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-15-9019-1_5

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