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dc.contributor.authorPaul, Lucas
dc.contributor.authorMudogo, Celestin
dc.contributor.authorMtei, Kelvin
dc.contributor.authorMachunda, Revocatus
dc.contributor.authorNtie-Kang, Fidele
dc.date.accessioned2020-06-10T10:52:12Z
dc.date.available2020-06-10T10:52:12Z
dc.date.issued2020-04-18
dc.identifier.urihttps://doi.org/10.1515/psr-2019-0098
dc.identifier.urihttps://dspace.nm-aist.ac.tz/handle/20.500.12479/779
dc.descriptionThis research article published by Walter de Gruyter GmbH, 2020en_US
dc.description.abstractCassava is a strategic crop, especially for developing countries. However, the presence of cyanogenic compounds in cassava products limits the proper nutrients utilization. Due to the poor availability of structure discovery and elucidation in the Protein Data Bank is limiting the full understanding of the enzyme, how to inhibit it and applications in different fields. There is a need to solve the three-dimensional structure (3-D) of linamarase from cassava. The structural elucidation will allow the development of a competitive inhibitor and various industrial applications of the enzyme. The goal of this review is to summarize and present the available 3-D modeling structure of linamarase enzyme using different computational strategies. This approach could help in determining the structure of linamarase and later guide the structure elucidation in silico and experimentallyen_US
dc.language.isoenen_US
dc.publisherWalter de Gruyter GmbHen_US
dc.subjectCassavaen_US
dc.subjectStructural determinationen_US
dc.subjectComputational strategiesen_US
dc.titleA computer-based approach for developing linamarase inhibitory agentsen_US
dc.typeArticleen_US


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