Abstract
Prediction of protein structure is one of the key research areas in bioinformatics. These identified structures can be used in the development of effective drug, nutrient, etc., design for living organism. This chapter provides an overview of different computational methods for protein structure prediction like comparative modelling, threading and ab initio methods. Finally, a case study on homology modelling of superoxide dismutase is discussed.
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Banerjee, B., Siddesh, G.M., Srinivasa, K.G. (2020). A Study on Protein Structure Prediction. In: Srinivasa, K., Siddesh, G., Manisekhar, S. (eds) Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-2445-5_7
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DOI: https://doi.org/10.1007/978-981-15-2445-5_7
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