A computer-based approach for developing linamarase inhibitory agents
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Date
2020-04-18
Journal Title
Journal ISSN
Volume Title
Publisher
Walter de Gruyter GmbH
Abstract
Cassava 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 experimentally
Sustainable Development Goals
SDG 2: Zero Hunger, SDG 3: Good Health and Well-being, SDG 9: Industry, Innovation, and Infrastructure.
Keywords
Cassava, Structural determination, Computational strategies