Computational and preclinical prediction of the antimicrobial properties of an agent isolated from Monodora myristica: a novel DNA gyrase inhibitor

• Main Authors: Onikanni, Sunday Amos, Lawal, Bashir, Fadaka, Adewale Oluwaseun, Bakare, Oluwafemi, Ezekiel, Adewole, Bakhtiar, Muhammad Taher, Khotib, Junaidi, Darnis, Deny Susanti, Oyinloye, Babatunji Emmanuel, Ajiboye, Basiru Olaitan, Ojo, Oluwafemi Adeleke, Sibuyi, Nicole Remaliah Samantha
• Format: Article
• Language: English; English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2023
• Subjects: QD Chemistry
• Online Access: http://irep.iium.edu.my/103628/2/103628_Computational%20and%20preclinical%20prediction%20of%20the%20antimicrobial.pdf; http://irep.iium.edu.my/103628/3/103628_%20Computational%20and%20preclinical%20prediction%20of%20the%20antimicrobial_Scopus.pdf; http://irep.iium.edu.my/103628/; https://www.mdpi.com/1420-3049/28/4/1593/pdf?version=1675770149

The African nutmeg (Monodora myristica) is a medically useful plant. We, herein, aimed to critically examine whether bioactive compounds identified in the extracted oil of Monodora myristica could act as antimicrobial agents. To this end, we employed the Schrödinger platform as the com- putational t...