Abstract

  Acinetobacter infections are difficult-to-treat because of their resistance patterns. Bacteria have been developing broader range of resistance against many drugs used in treating infections, the discovery of new lead compounds requires a safe strategy to combat as antimicrobials. Therefore, identification of natural compounds is highly essential for developing lead antibiotic like drugs and hence, the study is aimed at identifying the potential compound through computational screening. Computational screening for identification of potential antibiofilm agent was performed using PubChem database. . The 3D structure model of Biofilm-associated protein (Bap) protein was built using Modeller 9.19 Version. Twenty five compounds were selected for screening of Antibiofilm activity against Acinetobacter baumannii. In computational analysis, virtual screening was performed on only one compound namely: Parecoxib. In-silico screening, identified Parecoxib as a potential inhibitor for (Bap) protein A. baumannii. Our results suggest that Parecoxib can be developed as a lead anti-biofilm drug to treat patients infected with Acinetobacter baumannii.

Keywords: A. baumannii; Biofilm-associated protein (Bap); Parecoxib; Docking

References

1. Karlapudi AP., et al. “Role of biosurfactants in bioremediation of oil pollution-a review”. Petroleum 4.3 (2018): 241-249.
2. Peele KA., et al. “Emulsifying activity of a biosurfactant produced by a marine bacterium”. 3 Biotech 6.2 (2016): 177.
3. Kalia VC., et al. “Evolution of resistance to quorum-sensing inhibitors”. Microbial Ecology 68.1 (2014): 13-23.
4. Fiser A and Sali A. “Modeller: generation and refinement of homology-based protein structure models”. In Methods in enzymology Academic Press 374 (2003): 461-491.
5. Kumar H., et al. “Identification of dual natural inhibitors for chronic myeloid leukemia by virtual screening, molecular dynamics simulation and ADMET analysis”. Interdisciplinary Sciences: Computational Life Sciences 8.3 (2016): 241-252.
6. Karlapudi AP., et al. “Evaluation of anti-cancer, anti-microbial and anti-biofilm potential of biosurfactant extracted from an Acinetobacter M6 strain”. Journal of King Saud University-Science In press (2018).

Citation

Citation: TC Venkateswarulu., et al. In-silico Screening of Antibiofilm Activity against Acinetobacter baumannii. Acta Scientific Biotechnology 1.1 (2020): 08-10.

Copyright

Copyright: © 2020 TC Venkateswarulu., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.