Abstract

Virtual screening, molecular docking and MD simulation study has been integrated for screening of phytochemical based anti-mycobacterial compounds. Docking study of reported MtbICL inhibitors has shown an average binding affinity score -7.30 Kcal/mol. In virtual screening, compounds exhibiting lower binding energy than calculated average binding energy were selected as top hit compounds followed by calculation of drug likeness property. Relationship between experimental IC50 value and calculated binding gibbs free energy of reported inhibitors was also calculated through regression analysis to predict IC50 value of potential inhibitors. Docking and MD simulation studies of top hit compounds have identified shinjudilactone (quassinoid), lecheronol A (pimarane) and caniojane (diterpene) as potential MtbICL inhibitors. Phytochemical based anti-mycobacterial compound can further developed into effective drugs against persistence tuberculosis with lesser toxicity and side effects.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.