Pass-assisted Prediction of Novel Tetracycline Hybrids
Year: 2024
Type: article
Abstract: Objective: The study aimed to determine the biological activity of various novel tetracycline hybrids using way 2 drug platform's online pass software. Methods: Novel structures were designed computationally by hybridization of 9-amino tetracycline with various phyotchemicals using various covalent linkers and prediction of biological activity was done using online pass software. Results: The study investigated showed the antibacterial activity of almost all hybridized tetracycline compounds. The PASS predictions suggested that modifications at the 9th position of tetracycline with various phytochemicals enhanced the antibacterial activity or retained the antibacterial activity for several of the designed structures when compared with standard tetracycline. Conclusion: With an alarming increase of antibiotic resistance, we must identify ways to combat these diseases. This work implies that combining antimicrobials with phytochemicals can create new antimicrobial-photochemical conjugates, potentially addressing antimicrobial resistance in bacteria. Tetracycline hybrids can be used in the future to produce many more hybrids, potentially embarking in a new era of medicine research.
Authors: MANSI SHAH, BHANUBHAI SUHAGIA, SUNITA GOSWAMI
Institutions: Dharmsinh Desai University, LJ University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404447537