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Computational identification of uncharacterized cruzain binding sites.

Jacob D Durrant et al · Public Library of Science (PLoS) · 2010

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Chagas disease, caused by the unicellular parasite Trypanosoma cruzi, claims 50,000 lives annually and is the leading cause of infectious myocarditis in the world. As current antichagastic therapies like nifurtimox and benznidazole are highly toxic, ineffective at parasite eradication, and subject to increasing resistance, novel therapeutics are urgently needed. Cruzain, the major cysteine protease of Trypanosoma cruzi, is one attractive drug target. In the current work, molecular dynamics simulations and a sequence alignment of a non-redundant, unbiased set of peptidase C1 family members are used to identify uncharacterized cruzain binding sites. The two sites identified may serve as targets for future pharmacological intervention.

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APA 7

al, J. D. D. E. (2010). Computational identification of uncharacterized cruzain binding sites. https://doi.org/10.1371/journal.pntd.0000676

MLA

al, Jacob D Durrant et. "Computational identification of uncharacterized cruzain binding sites." 2010. https://doi.org/10.1371/journal.pntd.0000676.

Chicago

al, Jacob D Durrant et. 2010. "Computational identification of uncharacterized cruzain binding sites.". https://doi.org/10.1371/journal.pntd.0000676.

Harvard

al, J. D. D. E. 2010, Computational identification of uncharacterized cruzain binding sites, Public Library of Science (PLoS), available at: https://doi.org/10.1371/journal.pntd.0000676 [Accessed 9 Aug. 2026].

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Title
Computational identification of uncharacterized cruzain binding sites.
Author / contributors
Jacob D Durrant et al
Publisher
Public Library of Science (PLoS)
Publication year
2010
ISSN
1935-2727
ISSN
1935-2727
Language
English
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