Abstract
A hypothetical protein (HP) is one that is known to exist only on the basis of a corresponding gene but without any function assigned to it. Many HPs have emerged as attractive vaccine candidates against prokaryotic and eukaryotic pathogens as well as against cancers. Mycobacterium bovis is a serious veterinary pathogen of tremendous zoonotic importance. This protocol describes a computational workflow for the identification of the HPs of M. bovis with vaccine potential and their subsequent structural and functional characterization.
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Acknowledgments
The author acknowledges the financial support received from M/s Ayurvet Limited, India, during the preparation of this manuscript. The authors of all the computational servers used in the present study are gratefully acknowledged for making their tools available freely and publicly.
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Ganguly, B. (2022). Computational Mining and Characterization of Hypothetical Proteins of Mycobacterium bovis Toward the Identification of Probable Vaccine Candidates. In: Thomas, S. (eds) Vaccine Design. Methods in Molecular Biology, vol 2412. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1892-9_24
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DOI: https://doi.org/10.1007/978-1-0716-1892-9_24
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