Discovery Of Effective Molecules for PROA Protein Inhibition of Mycobacterium tuberculosis - An In-Silico Technique
Year: 2024
Type: article
Abstract: One of the major universal causes of death is Tuberculosis. Despite the well-defined Tuberculosis pharmaceutical procedures, the lengthier treatment, medication tolerance, and harmfulness make disease control challenging. The present research focuses on the PROA, a protein that is crucial for catalyzing the reduction of L-glutamate 5-phosphate into L-glutamate 5-semialdehyde and phosphate. Utilising computational techniques, the homology modelling of the PROA protein model is created and verified. The 415 amino acids, which make up the PROA protein are organised into 18 helices and 16 sheets. The CASTp, FT-Site, and GalaxyWeb servers are used to determine the PROA protein's active site. The potential sites are ALA30, ARG204, VAL265 and CYS266. To discover the lead compounds, Schrodinger runs virtual screening tests. The Prime MM-GBSA programme is used to refine the lead compounds. The ADME properties of the lead compounds are calculated to ascertain their drug-like characteristics.
Author: Thirupathi Damera
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408956026