Computational intelligence tools for protein modeling

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Abstract

Protein modeling plays a quite important role in computational aid drug discovery and designing. Advancements in computational tools make easy to model a protein structure from a large amount of sequence data. Protein modeling and structural prediction speed up the drug designing and synthesizing processes. Computational approaches help in the study of biophysiochemical properties. These tools identify the structure and the function of the proteins from the sequence comparison and the relationship with other proteins in the database. Now a days, with the improvements in tools, the protein secondary structures can also be predicated from sequences alone. This make a major breakthrough in protein modeling process. Similar sequenced proteins have similar secondary structure, which can perform similar task. From this, same drug can be used for similar structured proteins. This review paper provides a comprehensive detail to different protein modeling tools.

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Kondabala, R., & Kumar, V. (2019). Computational intelligence tools for protein modeling. In Advances in Intelligent Systems and Computing (Vol. 741, pp. 949–956). Springer Verlag. https://doi.org/10.1007/978-981-13-0761-4_89

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