MolPredictX

MolPredictX predicts molecular bioactivity and provides quantitative probability estimates to support identification and prioritization of therapeutic candidates across multiple pathogens and disease-associated enzymes.


Key Features:

  • Qualitative Predictions: Provides 27 distinct qualitative predictions classifying molecules as active or inactive against a range of biological targets.
  • Quantitative Probabilities: Outputs probability scores for predicted bioactivity alongside qualitative classifications.
  • Diverse Biological Targets: Covers Trypanosoma, Leishmania, Dengue, SARS-CoV, Hepatitis C, Candida albicans, Salmonella enterica, Escherichia coli, and enzymes associated with Alzheimer's disease.

Scientific Applications:

  • Drug discovery and development: Predicts biological activity to aid identification and prioritization of compounds for further experimental validation.

Methodology:

QSAR models developed and validated using data from indexed scientific articles.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
10/11/2022
Last Updated:
11/24/2024

Operations

Publications

Tullius Scotti M, Herrera‐Acevedo C, Barros de Menezes RP, Martin H, Muratov EN, Ítalo de Souza Silva Á, Faustino Albuquerque E, Ferreira Calado L, Coy‐Barrera E, Scotti. L. MolPredictX: Online Biological Activity Predictions by Machine Learning Models. Molecular Informatics. 2022;41(12). doi:10.1002/minf.202200133. PMID:35961924.