Bioinformatics approach of polyprenol reductase in Hevea brasiliensis

1Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.

Abstract

Hevea brasiliensis Mull. Arg. (rubber plant) is now used utterly for the commercial production of natural rubber, mainly of cis-1, 4-polyisoprenoid. The current study assesses the bioinformatics approaches to assay four probably polyprenol reductase genes from Hevea brasileinsis on NCBI database as well as expected the physicochemical, subcellular localisation, and phylogenetic of polyprenol reductase. Several parameters of physicochemical polyprenol reductase in H. brasiliensis were varied among the genes observed. The predictable half-life of polyprenol reductase in this study was similar to polyprenols reductase from other majorities of plant species. Based on stability coefficients, there were no stable proteins; all polyprenol reductase genes were non-stable proteins. It is notable that mitochondria target peptide value diverse from 0.053 to 0.101, signifying that is expected to be a presence. To clarify the homology in the midst of the polyprenol reductase gene in Euphorbiaceae family, a dendrogram tree was constructed. The close relationship among polyprenol reductase genes: environs may interpret Kandelia obovata, Ricinus communis, Manihot esculenta with rubber plant in the polyprenol reductase environs in the tropical rain forests. The present results indicated the prominence of understanding the variation and role of physical and chemical characteristics of the distinct amino acids in plant polyprenol reductase genes in H. brasiliensis.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Basyuni, M., Hayati, R., Pratomo, B., Lisnawita, & Sagami, H. (2019). Bioinformatics approach of polyprenol reductase in Hevea brasiliensis. In Journal of Physics: Conference Series (Vol. 1235). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1235/1/012045

Readers' Seniority

Tooltip

Lecturer / Post doc 5

56%

Professor / Associate Prof. 2

22%

PhD / Post grad / Masters / Doc 2

22%

Readers' Discipline

Tooltip

Nursing and Health Professions 6

50%

Agricultural and Biological Sciences 3

25%

Medicine and Dentistry 2

17%

Engineering 1

8%

Save time finding and organizing research with Mendeley

Sign up for free