Starch-branching enzymes (SBE) serves as the only enzyme generating glucan branches in green plants and consequently plays a significant role on the resulting starch final structure. Research on rice (Oryza sativa) SBE1 (OsSBE1) structural biology remain untapped. Therefore, there is a necessity for research on the enzyme molecular structure which could lead to the protein function annotation, starch production and energy booster drug design. Analysis of OsSBE1 secondary structure, domains and their interactions, enzyme 3D structure prediction and validation based on C-score were carried out. The OsSBE1 primary sequence was retrieved from GenBank and its secondary structure was predicted to be; α-helix (27.68%), extended strand (22.78%) and higher random coil (949.54%). Enzyme domains were found to be carbohydrate-binding module (CBM) 48 (isoamylase N-terminal domain), α-amylase catalytic domain and α-amylase C-terminal all-beta domain with active sites important amino acids asparagine and glutamic acid. From the five 3D models generated, model 3 displayed best prediction. The Ramachandran refinement has 97.3 amino acids residues in favoured region and 0.4 C-score. This bioinformatics study has elucidated on the OsSBE1 molecular model and first to report on its domain interaction.
Biofilms are sessile communities of microorganisms growing on material surfaces and embedded in self-accumulated extracellular polymers. A comprehensive analysis of physical, chemical and biological factors including hydrodynamic and nutrient conditions that regulate their formation is required to adequately gain insight to this complex multicellular microbial life style. Reproducible experimental models that consider all the conditions under which they grow and develop also remain a required tool for studying the biofilms. As a result of its ability to create hydrodynamic and nutrient conditions coupled with continuous and non-destructive ability to grow biofilms, flow cell technology has become one of the most recently patronised models used to study microbial biofilms. This article focuses on recent advancements, principles and practical application of flow cell technology to study microbial biofilms.
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