Machine Learning Prediction of Potential Inhibitors of the Marburg Virus Gene 4 Small ORF Protein using MARVpred
The Marburg virus (MARV), a member of the filovirus family, is a highly virulent pathogen responsible for causing Marburg virus disease (MVD), a hemorrhagic fever with high mortality rates. First identified in 1967, MARV has since caused sporadic outbreaks with devastating impacts on human health and socio-economic stability. The disease's primary vector is the Rousettus aegyptiacus fruit bat and facilitates its spread through direct contact with infected bodily fluids, contaminated surfaces, or the consumption of bushmeat. MVD manifests with symptoms such as fever, vomiting, diarrhea, and severe hemorrhaging, rapidly progressing to multi-organ failure in many cases. Despite its significant threat, no approved vaccines or antiviral therapies are currently available, making it an urgent target for drug discovery and therapeutic development. In this project, we aim to leverage the power of machine learning and molecular docking to accelerate the identification of potential lead compounds against Marburg virus. This approach integrates computational techniques to streamline the traditionally resource-intensive process of drug discovery, offering a rapid, cost-effective alternative to experimental methods.
- Identify a suitable protein target for Marburg virus.
- Identify a suitable database for interactions between small molecules and the protein target.
- Preprocess and train multiple ML models.
- Evaluate ML performance and select top models.
- Application and Validation of Models.
- Deployment of models for easy accessibility.
The data used for this project can be here
License: MIT
(Lamptey et al., 2025)
Lamptey E., Anyaele G., Arthur H., Adjadeh T., Sagoe D., Hanson G. and Awe O. I. (2025). Machine Learning Prediction of Potential Inhibitors of the Marburg Virus Gene 4 Small ORF Protein using MARVpred. Scientific Reports.
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You can offer to help with the further development of this project by making pull requests on this repo. To do so, fork this repository and make the proposed changes. Once completed and tested, submit a pull request to this repo.
Contributors:
| N° | First & Last Name | Email address | ORCID ID |
|---|---|---|---|
| 1 | Eugene Lamptey (Lead) | lampteyeugen08@gmail.com | 0009-0002-3354-1500 |
| 2 | Gabriel Anyaele | gabrielanyaele21@gmail.com | 0009-0004-5094-5835 |
| 3 | Harry Arthur | harryaurthur06@gmail.com | 0009-0007-5987-9143 |
| 4 | George Hanson | george.hanson417@gmail.com | 0009-0007-2720-9102 |
| 5 | Thaddeus Adjadeh | thaddeusvandel@gmail.com | 0009-0006-3777-3631 |
| 6 | Dorothy Sagoe | dorothysagoe1@gmail.com | 0009-0003-2015-3282 |
| 7 | Olaitan I. Awe | laitanawe@gmail.com | 0000-0002-4257-3611 |