Bioinformatics study of phytase from Aspergillus niger for use as feed additive in livestock feed.

Background: Phytase supplementation in rations can reduce their phytic acid composition in order to enhance their nutritional value. Aspergillus niger is a fungus that can encode phytase. This study aims to determine the characteristics of its DNA sequences and amino acid composition that encode the phytase enzyme, as well as to determine the primer designs.

Dissection of Capsid Protein HPV 52 to Rationalize Vaccine Designs Using Computational Approaches Immunoinformatics and Molecular Docking.

Background: Human Papillomavirus type 52 (HPV 52) is considered one of the threatening HPV types inducing cervical cancer worldwide. This study was conducted to address strategies of an effective vaccine against cervical cancer using computational approaches immuno-informatics and molecular docking.

Methods: Major capsid protein L1 and L2 HPV 52 (L1 and L2 HPV 52) sequences were investigated by multiple analyses including B and T cell epitope, toxicity, allergenicity, Immunogenicity, epitope conservancy, population coverage, and molecular docking.

Construction, expression, and in vitro assembly of virus-like particles of L1 protein of human papillomavirus type 52 in Escherichia coli BL21 DE3.

Background: A major discovery in human etiology recognized that cervical cancer is a consequence of an infection caused by some mucosatropic types of human papillomavirus (HPV). Since L1 protein of HPV is able to induce the formation of neutralizing antibodies, it becomes a protein target to develop HPV vaccines. Therefore, this study aims to obtain and analyze the expression of HPV subunit recombinant protein, namely L1 HPV 52 in E.