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Advances in Bioinformatics
Volume 2018, Article ID 7963401, 12 pages
https://doi.org/10.1155/2018/7963401
Research Article

In Silico Characterization and Structural Modeling of Dermacentor andersoni p36 Immunosuppressive Protein

1Department of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000, Nairobi 00200, Kenya
2Cooperative University of Kenya, P.O. Box 24814, Nairobi 00502, Kenya
3Department of Biochemistry, Kenyatta University, P.O. Box 43844, Nairobi 00100, Kenya
4Unit of Animal Experimentation, State University of North Fluminense, Centre of Biosciences and Biotechnology, Campos dos Goytacazes, RJ, Brazil
5Animal and Human Health Program, International Livestock Research Institute, P.O. Box 30709, Nairobi 00100, Kenya

Correspondence should be addressed to Martin Omulindi Oyugi; moc.liamg@nitramidnilumo

Received 5 November 2017; Accepted 14 February 2018; Published 8 April 2018

Academic Editor: David A. McClellan

Copyright © 2018 Martin Omulindi Oyugi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Martin Omulindi Oyugi, Johnson Kangethe Kinyua, Esther Nkirote Magiri, Milcah Wagio Kigoni, Evenilton Pessoa Costa, and Naftaly Wang’ombe Githaka, “In Silico Characterization and Structural Modeling of Dermacentor andersoni p36 Immunosuppressive Protein,” Advances in Bioinformatics, vol. 2018, Article ID 7963401, 12 pages, 2018. https://doi.org/10.1155/2018/7963401.