Antimicrobial activity of compounds identified by artificial intelligence discovery engine targeting enzymes involved in Neisseria gonorrhoeae peptidoglycan metabolism
We have identified bioactive compounds that appear to target the N. gonorrhoeae LdcA and LtgD enzymes. By using a reductionist approach involving biological and computational data, we propose that compound Ng-LdcA-16 and Ng-LtgD-45 are promising anti-gonococcal compounds for further development.
Authors
- Ravi Kant (ORCID: https://orcid.org/0000-0002-6268-7384)
- Dayana Agnes Santos Ferreira (ORCID: https://orcid.org/0000-0001-9003-2417)
- Tigran M. Abramyan (ORCID: https://orcid.org/0000-0002-7224-6072)
- Ryan P. Pemberton
- Myron Christodoulides (ORCID: https://orcid.org/0000-0002-9663-4731)
- Camila S. Freitas (ORCID: https://orcid.org/0000-0001-7882-215X)
- James C. K. Ng (ORCID: https://orcid.org/0000-0002-0185-1080)
- Alejandra Vera
- Stephanie Contreras
- Gwennan Rucinski
- Hannah Tilford
- Joshua Watkins
Institutions
- Universidade Federal de Minas Gerais (BR)
- Ambedkar University Delhi (IN)
- Instituto Butantan (BR)
- Healthwise (US)
- University of Southampton (GB)
- University of Valparaíso (CL)
Publication Details
- Journal
- Biological Research
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1186/s40659-024-00543-9
- Citations
- 8
- Primary Topic
- Reproductive tract infections research
- Type
- article
- Field-Weighted Citation Impact
- 2.76
Funders
- Biotechnology and Biological Sciences Research Council