Babcock University Research Portal

ANTIMICROBIAL POTENTIALS OF SOIL FUNGI METABOLITES, MOLECULAR DYNAMICS AND THEIR 3D PROTEIN STRUCTURAL PREDICTION USING BIOINFORMATICS TOOL

Authors: AINA Ayandiran

Publication Type: Journal article

Journal: International Journal Of Current Pharmaceutical Research

ISSN Number:

Downloads

Views

Abstract

Objective: To determine the antimicrobialpotentials of secondary metabolite of soil fungiand predict their 3D structure and molecular identity.Methods: Pure soil fungi were isolated from soil samples and cultured under submergedfermentation (Smf) for their metabolites using Potato Dextrose Agar and Broth. The secondary metabolites of the isolated fungi were obtained intracellularly after 21 dof incubation in a rotary shaker incubator. The antimicrobial potentials of the metabolites were investigated against four (4) clinical isolates,namely: Staphylococcus aureus, Klebsiella spp, Candida albicans and Escherichia coli.These soil fungi were further characterized to the molecular level and their evolutionary relationships established using bioinformaticstools. Protein structure of each of the fungiisolates waspredicted using PHYRE-2.Results: Out of all the soil fungi isolated, the metabolite of Aspergillus aculeatusshowed the highest antimicrobial activities against Staphylococcus aureus (23.00±2.34 mm),Escherichia coli (9.00±1.44 mm) and Klebsiella spp (24.00±3.45 mm). The 3D protein structure predicted showed that each of the organisms consistsof different amino-acid compositionssuch as: serine, tyrosine, proline, arginine, glycine, phenylalanine leucine with other notable biological properties.Conclusion: The work revealedthat secondary metabolitesof the isolated fungi carry an important role in combating infectious agents thereby, providing roadmaps forthe biosynthesis of many synthetic and semi-synthetic drugs and bio-products which are environmentally friendly.

Access to Documents

External Link
Download
Digital Object Identifier

Keywords

AINA,A. . (2020). ANTIMICROBIAL POTENTIALS OF SOIL FUNGI METABOLITES, MOLECULAR DYNAMICS AND THEIR 3D PROTEIN STRUCTURAL PREDICTION USING BIOINFORMATICS TOOL, 1220 (), 20-20.

AINA,A. . "ANTIMICROBIAL POTENTIALS OF SOIL FUNGI METABOLITES, MOLECULAR DYNAMICS AND THEIR 3D PROTEIN STRUCTURAL PREDICTION USING BIOINFORMATICS TOOL" 1220, no (), (2020): 20-20.

AINA,A. and . (2020). ANTIMICROBIAL POTENTIALS OF SOIL FUNGI METABOLITES, MOLECULAR DYNAMICS AND THEIR 3D PROTEIN STRUCTURAL PREDICTION USING BIOINFORMATICS TOOL, 1220 (), pp20-20.

AINAA, . ANTIMICROBIAL POTENTIALS OF SOIL FUNGI METABOLITES, MOLECULAR DYNAMICS AND THEIR 3D PROTEIN STRUCTURAL PREDICTION USING BIOINFORMATICS TOOL. 2020, 1220 ():20-20.

AINA,Ayandiran , . "ANTIMICROBIAL POTENTIALS OF SOIL FUNGI METABOLITES, MOLECULAR DYNAMICS AND THEIR 3D PROTEIN STRUCTURAL PREDICTION USING BIOINFORMATICS TOOL", 1220 . (2020) : 20-20.

A.Ayandiran , "ANTIMICROBIAL POTENTIALS OF SOIL FUNGI METABOLITES, MOLECULAR DYNAMICS AND THEIR 3D PROTEIN STRUCTURAL PREDICTION USING BIOINFORMATICS TOOL" vol.1220, no., pp. 20-20, 2020.

Access to Documents

Keywords

About Us

Admissions

Contact Us

Policies

ALUMNI

STUDENT POPULATION