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MolPredictX: A Pioneer Mobile App Version for Online Biological Activity Predictions by Machine Learning Models
Marcus Tullius Scotti1, Emmanuella Faustino Albuquerque1, Ciro Gomes da Silva Junior1
1Post-Graduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, João Pessoa, PB, Brazil.
Methods in Molecular Biology (Clifton, N.J.)
|September 23, 2024
Summary
MolPredictX is a free web tool and the first Android app for predicting chemical molecule biological activity. This updated tool offers enhanced biological activity prediction for researchers and the public.
Area of Science:
- Computational chemistry
- Cheminformatics
- Drug discovery
Background:
- Predicting biological activity is crucial for drug discovery.
- Existing tools may lack accessibility or comprehensive features.
Purpose of the Study:
- To introduce MolPredictX, a free web tool for predicting biological activity.
- To announce the first update and the release of an Android application for MolPredictX.
Main Methods:
- Development of a web-based platform for molecular analysis.
- Creation of a dedicated Android application for mobile accessibility.
Main Results:
- MolPredictX provides free access to biological activity predictions.
- The tool has been available for over a year and recently updated.
- A novel Android app version is now available, offering mobile-based predictions.
Conclusions:
- MolPredictX enhances accessibility to biological activity prediction tools.
- The updated web tool and new mobile app cater to a wider user base.
- MolPredictX serves as a valuable, free resource in cheminformatics and drug discovery.
