According to reports of ReAct forum, every year more than 750,000 patients die due to bacterial infections, making bacterial infection
one of the leading causes of disease infestation in an individual. Haemophilus influenzae disease, pneumonia and urinary tract
infections make the top of this list. Haemophilus influenzae is a gram-negative, commensal, facultative bacterium, which can mostly
cause pneumonia along with other diseases including bloodstream infections and arthritis. Though vaccine exists for Hib infections,
during infections of Hib and NThi the patients are administered antibiotics to treat the disease. Staphylococcus aureus is a grampositive versatile bacterium of the micrococcaceae family and one of the most dangerous pathogen-affecting humans as it can cause
pneumonia. Pneumonia is an acute pulmonary infection, which is associated with high mortality having a more pronounced effect on
young children. Urinary Tract Infection is a prevalent public health problem that is more common in women than in men. Though it
can be treated by appropriate antibiotics, due to recurrent infections, they lead to a gain of resistance. Thousands of research are
going on around the world to come up with a potential drug that can cure the Hi disease, Staphylococcus aureus related pneumonia
and UTIs entirely with the least drawbacks. In this study, we present a docking-based screening using a quantum mechanical scoring
of a library built from approved drugs and compounds, Amoxicillin and Cefuroxime with proteins with PDB ids 3CKM, 3EMF, 3ZU0,
4MV9, 5KCN, 5VBG, and 6XXY for Hi disease, 4RBR, 4MVN, 3KOR and 2RKZ for Staphylococcus aureus related pneumonia and 6QVX,
2F00, 6AYI and 2ID0 for UTIs could display antibacterial activity against the respective bacterial infections. This study needs to be
evaluated and further confirmed through experimental assays and clinical trials to validate the predicted results. This finding aims to
provide a better understanding and contribute