Antibacterial activities, PASS prediction and ADME analysis of phytochemicals from Curcubita moschata , Curcubita maxima , and Irvingia gabonensis : insights from in silico studies.

Microbial infection management and treatment are crucial as a result of the prevalent antimicrobial resistance issue. Progressive studies are being carried out on how to develop drugs that can mitigate the resistance trends of these microorganisms. Secondary metabolites of plants can also be employed and accessed for this role, as the current study examines the antibacterial activities of phytochemicals from three (3) plants ( Cucubita moschata , Cucubita maxima , and Irvingia gabonesis ) through computational approaches. Molecular docking studies were carried out to show the binding affinities of the phytochemicals against two target receptors (DNA gyrase and Penicillin Binding Protein 3). In addition, drug likeness analysis, bioactivity and oral-bioavailability properties, absorption, distribution, metabolism, and excretion (ADME) profiling, as well as prediction of activity spectra for substances (PASS) using online tools like SwissADME, PASS online, AdmetSAR2, and Discovery Studio, were also performed. The results obtained identified isochlorogenic acid and apigenin-7-O-glucoside for DNA gyrase (1KZN) and apigenin-7-O-glucoside for Penicillin Binding Protein 3 (4BJP), which were further subjected to molecular dynamics simulation (MDS) and therefore recommended as the lead compounds.