In Silico Structural and Functional Annotation of Hypothetical Protein From Mycobacterium tuberculosis

Abstract

One of the oldest illnesses known to affect humans, tuberculosis (TB), kills two million people annually and is still the main cause of death. However, Mycobacterium tuberculosis, which is prevalent in aerosol droplets, deposits on lung alveolar surfaces, causing TB to be largely a pulmonary illness. Despite the fact that TB may damage the bone, the neurological system, and several other organ systems, its primary symptom is lung illness. There are a number of potential consequences as the illness advances from this point , most of which are determined by the host immune system's response. Researchers are identifying targets in M. TB that will aid in the development of these urgently required anti-tubercular medications using the whole M. tuberculosis genome structure as well as innovative genetic and physiological approaches. In order to comprehend the function that a putative protein (OHO18223.1) discovered in Mycobacterium TB plays in the organism, the current study aims to investigate the structural and functional evaluation of the protein. Using an in-silico technique, homology modeling was utilized to build the 3D structure, and P fam, Interpro, and Uniport were used to profile the functions. The putative protein's primary and secondary structures were examined, and they revealed that it was stable, confined within the cytoplasm, and included a significant number of random coils. The 3D models that the SWISS-MODEL server predicted are 62.17 percent comparable to the template that received the best score. The SAVES v6.0 server and Prosa-web were used to assess the 3D model quality. The protein model has remarkable quality, as shown by the Ramachandran plot-based overall quality assessment results from Prosa-web, Verify3D, and Procheck. According to the websites P fam, Interpro, and Uniport, the putative protein is a cytoplasmic protein that breaks down unwanted, damaged, and improperly folded intracellular proteins, hence preserving the quality of protein in the cell. Finally, we proposed that more research into the structure and function of the protein may result in brand-new therapies. Keywords: Function prediction; Structure assessment; Mycobacter