Title:An in silico Approach to Identify Potential NDM-1 Inhibitors to Fight Multidrug Resistant Superbugs
Volume: 14
Issue: 1
Author(s): Seema Barman, Bonashree Phukan, Partha Sarathi Borah, Minakshi Puzari, Mohan Sharma and Pankaj Chetia*
Affiliation:
- Department of Life Sciences, Dibrugarh University, Dibrugarh, 786004, Assam,India
Keywords:
Antibiotic resistance, NDM-1, autodock, QSAR, ADMET, ajugasterone-C.
Abstract: Background: Antibiotic resistance is a global threat and the emergence of
Multi-Drug Resistant (MDR) bacteria compromises the treatment options, limiting the
number of available drugs. New Delhi Metallo-beta-lactamase-1 (NDM-1) mediated drug
resistance is one of the mechanisms associated with multidrug resistance.
Objective: In our study, reverse chemogenomics technique was applied for identification
of potential NDM-1 inhibitors from plant sources to combat the issue of drug resistance in
Gram-negative bacteria.
Method: Computational methodologies were employed to understand and validate the
molecular interaction between the target protein and the ligands. A total of 22 plant-based
compounds were screened for inhibitory activity against NDM-1 through subsequent
comparative molecular docking. The compounds were passed through Lipinski filter and
ADME-Tox filter, which represent an important part of drug discovery.
Result: On the basis of optimum molecular docking values, Garcinol was recognized as
the most potential NDM-1 inhibitor. However, in Quantitative-Structure Activity Relationship
assessment, Ajugasterone-C showed the least value of minimum inhibitory concentration.
Most of the compounds were found to comply with Lipinski rule of 5 and
showed good results in ADME-Tox filtration.
Conclusion: Garcinol and Ajugasterone-C were found to possess drug like characteristics
and can act as potential NDM-1 inhibitors.
