Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine Learning

Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine Learning

Bovine babesiosis causes significant annual global economic loss in the beef and dairy cattle industry. It is a disease instigated from infection of red blood cells by haemoprotozoan parasites of the genus Babesia in the phylum Apicomplexa. Principal species are Babesia bovis, Babesia bigemina, and...

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Bibliographic Details
Main Authors:	Stephen J. Goodswen, Paul J. Kennedy, John T. Ellis
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-07-01
Series:	Frontiers in Genetics
Subjects:	Babesia bovis Babesia bigemina Babesia canis machine learning exportome vaccine
Online Access:	https://www.frontiersin.org/articles/10.3389/fgene.2021.716132/full

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